PhD student position in Atomistic modeling of materials for solar energy applications
The present project focuses on modeling of complex physical phenomena in emerging photoabsorbing materials for solar energy applications. It will focus on materials used in solar cells, such as halide perovskites, and in water-splitting photoelectrochemical cells, such as complex metal oxides. The nature, energetics and mobility of photogenerated holes and electrons will be studied, as well as their interactions with defects, surfaces and interfaces. The main goal of the project is to contribute to development of materials for improved solar devices. Advanced electronic structure methods, such as the GW approximation, hybrid functionals and ab-initio molecular dynamics simulations, as implemented in the ABINIT, QuantumEspresso or CP2K codes, will be used.
More Info
✔️ @ApplyTime
The present project focuses on modeling of complex physical phenomena in emerging photoabsorbing materials for solar energy applications. It will focus on materials used in solar cells, such as halide perovskites, and in water-splitting photoelectrochemical cells, such as complex metal oxides. The nature, energetics and mobility of photogenerated holes and electrons will be studied, as well as their interactions with defects, surfaces and interfaces. The main goal of the project is to contribute to development of materials for improved solar devices. Advanced electronic structure methods, such as the GW approximation, hybrid functionals and ab-initio molecular dynamics simulations, as implemented in the ABINIT, QuantumEspresso or CP2K codes, will be used.
More Info
✔️ @ApplyTime
PhD student position in surface chemistry
Information about the project
In this PhD student position, you will join the activities at the Division of Applied Chemistry at the Department of Chemistry and Chemical Engineering. Sustainable development is a central matter at the division where research is mainly directed with an applied focus and mostly concerns the development of new materials. In this specific project, so-called microcapsules are at focus. Microcapsules have shown an interesting application potential in the search for new fiber-based materials with antimicrobial properties. The ambition of this project is to develop biobased microcapsules to be adapted in cellulosic fibres from where triggered and sustained release of antimicrobial agents can be accomplished. A central objective is to characterize and map the fundamental aspects that are decisive in the formulation of microcapsules as well as their release of actives.
More Info
✔️ @ApplyTime
Information about the project
In this PhD student position, you will join the activities at the Division of Applied Chemistry at the Department of Chemistry and Chemical Engineering. Sustainable development is a central matter at the division where research is mainly directed with an applied focus and mostly concerns the development of new materials. In this specific project, so-called microcapsules are at focus. Microcapsules have shown an interesting application potential in the search for new fiber-based materials with antimicrobial properties. The ambition of this project is to develop biobased microcapsules to be adapted in cellulosic fibres from where triggered and sustained release of antimicrobial agents can be accomplished. A central objective is to characterize and map the fundamental aspects that are decisive in the formulation of microcapsules as well as their release of actives.
More Info
✔️ @ApplyTime
Two PhD students Wideband Optical Network Nodes and Techniques (V36.3933)
The candidate will work at the Department of Electrical Engineering (https://www.tue.nl/en/university/departments/electrical-engineering/). Within this department, research and education is done in domains of Telecommunication, Care and Cure, and Smart energy systems. The interfaculty Institute for Photonic Integration (IPI) performs research in the area of broadband telecommunication, by investigating the potential of optical technologies. As a key member of IPI, the Electro-Optical Communication Systems (ECO) group focuses its research on optical communication system techniques, ranging from systems for ultra-high capacity long reach transmission (encompassing single-mode, multi-mode and multi-core fiber systems), ultra-fast (all-) optical packet switching nodes, high-density intra-data center networks, to multi-service flexible access and in-building networks (including radio-over-fibre and optical wireless communication). ECO participates in several national and international projects.
More Info
✔️ @ApplyTime
The candidate will work at the Department of Electrical Engineering (https://www.tue.nl/en/university/departments/electrical-engineering/). Within this department, research and education is done in domains of Telecommunication, Care and Cure, and Smart energy systems. The interfaculty Institute for Photonic Integration (IPI) performs research in the area of broadband telecommunication, by investigating the potential of optical technologies. As a key member of IPI, the Electro-Optical Communication Systems (ECO) group focuses its research on optical communication system techniques, ranging from systems for ultra-high capacity long reach transmission (encompassing single-mode, multi-mode and multi-core fiber systems), ultra-fast (all-) optical packet switching nodes, high-density intra-data center networks, to multi-service flexible access and in-building networks (including radio-over-fibre and optical wireless communication). ECO participates in several national and international projects.
More Info
✔️ @ApplyTime
www.tue.nl
Department of Electrical Engineering
The department of Electrical Engineering has a research and design focus, and offers an excellent academic environment for educating young people.
PHD POSITION IN THE GENETIC SYSTEMS LAB
The Institute
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration.
CRG has been conferred with a badge of ‘HR Excellence in Research’ by the European Commission, in recognition to its progress in implementing the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, that among others consists of transparent, merit-based recruitment procedures and attractive work-life balance working conditions.
For further information: www.crg.eu
The role
1 PhD position open to work in the Genetic Systems Lab at CRG, Barcelona.
More Info
✔️ @ApplyTime
The Institute
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration.
CRG has been conferred with a badge of ‘HR Excellence in Research’ by the European Commission, in recognition to its progress in implementing the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, that among others consists of transparent, merit-based recruitment procedures and attractive work-life balance working conditions.
For further information: www.crg.eu
The role
1 PhD position open to work in the Genetic Systems Lab at CRG, Barcelona.
More Info
✔️ @ApplyTime
Startup Research Awards Call for Applications
Ping Zhang <mail.pingzhang@gmail.com>
9:05 PM (42 minutes ago)
to Machine Unsubscribe
Deadline: June 15, 2019
Website: https://www.kdd.org/kdd2019/calls/view/kdd-2019-startup-research-awards-call-for-applications
We are proudly offering a startup research award which aims to encourage the participation of employees of early stage startups, working in the broadly understood Data Science area, in KDD 2019. Priority will be given to attendees who have an accepted work either in the main KDD 2019 conference program (either Research Track or Applied Data Science Track), or in one of the workshops.
KDD 2019 invites applications for Startup Research Awards. Interested, eligible individuals should apply by June 15, 2019, sending the following information to startupaward2019@kdd.org:
Awards will be granted on a competitive basis, decided by the Startup Research Awards Committee. The award will cover the conference registration fee (early bird level) and up to US$ 2300 for travel and lodging.
1. Applicant’s Name, affiliated company, position in the company, applicant’s location
2. A letter, on the company letterhead, signed by the company’s CEO, giving basic information about the company (date of incorporation, number of employees, total funding - in US$ - secured from start to now.) Only early stage companies with total funding not exceeding US$10M are eligible.
3. A brief description of the accepted works in KDD 2019, and other research achievements by the company.
4. A link to the company’s website.
The Startup Research Awards Committee will inform the applicants by email about its decisions by June 22, 2019. Successful applicants will be expected to front the cost (both registration and travel), and will be subsequently reimbursed the cost up to the amount of the award.
✔️ @ApplyTime
Ping Zhang <mail.pingzhang@gmail.com>
9:05 PM (42 minutes ago)
to Machine Unsubscribe
Deadline: June 15, 2019
Website: https://www.kdd.org/kdd2019/calls/view/kdd-2019-startup-research-awards-call-for-applications
We are proudly offering a startup research award which aims to encourage the participation of employees of early stage startups, working in the broadly understood Data Science area, in KDD 2019. Priority will be given to attendees who have an accepted work either in the main KDD 2019 conference program (either Research Track or Applied Data Science Track), or in one of the workshops.
KDD 2019 invites applications for Startup Research Awards. Interested, eligible individuals should apply by June 15, 2019, sending the following information to startupaward2019@kdd.org:
Awards will be granted on a competitive basis, decided by the Startup Research Awards Committee. The award will cover the conference registration fee (early bird level) and up to US$ 2300 for travel and lodging.
1. Applicant’s Name, affiliated company, position in the company, applicant’s location
2. A letter, on the company letterhead, signed by the company’s CEO, giving basic information about the company (date of incorporation, number of employees, total funding - in US$ - secured from start to now.) Only early stage companies with total funding not exceeding US$10M are eligible.
3. A brief description of the accepted works in KDD 2019, and other research achievements by the company.
4. A link to the company’s website.
The Startup Research Awards Committee will inform the applicants by email about its decisions by June 22, 2019. Successful applicants will be expected to front the cost (both registration and travel), and will be subsequently reimbursed the cost up to the amount of the award.
✔️ @ApplyTime
Postdoctoral position in Machine Learning applied to Neuroimaging and Brain Connectivity
Workplace: IIT Genova, Italy
Added on: 31/05/2019 - Expires on: 15/06/2019
The Pattern Analysis and Computer Vision Research Line (https://pavis.iit.it/) at Istituto Italiano di Tecnologia is looking for a highly motivated post-doc with background in machine learning applied to neuroimaging data (fMRI, dTI, MEG, EEG, etc.). The position is in the context of the project “The role of brain network connectivity and machine learning for predicting disease worsening and cognitive impairment in patients with multiple sclerosis” in collaboration with the Institute of Experimental Neurology at Ospedale San Raffaele, supported by FISM, Fondazione Italiana Sclerosi Multipla onlus, gran n° cod. 2018/R/5 – cup F46C19000000001.
The project is focused on the development of machine learning algorithms and advanced computational methods for the analysis of brain imaging data recorded from multiple sclerosis (MS) patients. The interest is mainly in brain connectivity and how this relates with the disease. The aim is to support the prediction of long-term prognosis in MS. The research line will address problems such as the association of white-matter (dis)-connections with MS phenotypes, integration of functional and structural connectivity, definition of connectivity biomarkers used in long-term prediction of MS clinical worsening, etc.
Candidates for this position should have a Ph.D. in machine learning, pattern recognition, computer vision, mathematics or related areas. Research experience on the analysis of brain imaging data and brain connectivity will be privileged.
Strong programming skill is required.
Evidence of high quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, helping with the supervision of PhD candidates and collaborate with scientists from different disciplines.
Salary will be in line with international standard. The working location is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD 77047 as reference number in the subject.
To send your application please write an email to pavis@iit.it, quoting “PAVIS-PD 77047” as reference number, along with a curriculum vitae a research statement also describing your previous research experience and outlining its relevance to the call topics and the name and contacts of at least 2 referees.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 15, 2019.
Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging. More info on https://pavis.iit.it/
✔️ @ApplyTime
Workplace: IIT Genova, Italy
Added on: 31/05/2019 - Expires on: 15/06/2019
The Pattern Analysis and Computer Vision Research Line (https://pavis.iit.it/) at Istituto Italiano di Tecnologia is looking for a highly motivated post-doc with background in machine learning applied to neuroimaging data (fMRI, dTI, MEG, EEG, etc.). The position is in the context of the project “The role of brain network connectivity and machine learning for predicting disease worsening and cognitive impairment in patients with multiple sclerosis” in collaboration with the Institute of Experimental Neurology at Ospedale San Raffaele, supported by FISM, Fondazione Italiana Sclerosi Multipla onlus, gran n° cod. 2018/R/5 – cup F46C19000000001.
The project is focused on the development of machine learning algorithms and advanced computational methods for the analysis of brain imaging data recorded from multiple sclerosis (MS) patients. The interest is mainly in brain connectivity and how this relates with the disease. The aim is to support the prediction of long-term prognosis in MS. The research line will address problems such as the association of white-matter (dis)-connections with MS phenotypes, integration of functional and structural connectivity, definition of connectivity biomarkers used in long-term prediction of MS clinical worsening, etc.
Candidates for this position should have a Ph.D. in machine learning, pattern recognition, computer vision, mathematics or related areas. Research experience on the analysis of brain imaging data and brain connectivity will be privileged.
Strong programming skill is required.
Evidence of high quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, helping with the supervision of PhD candidates and collaborate with scientists from different disciplines.
Salary will be in line with international standard. The working location is Genova, Italy.
Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD 77047 as reference number in the subject.
To send your application please write an email to pavis@iit.it, quoting “PAVIS-PD 77047” as reference number, along with a curriculum vitae a research statement also describing your previous research experience and outlining its relevance to the call topics and the name and contacts of at least 2 referees.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 15, 2019.
Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging. More info on https://pavis.iit.it/
✔️ @ApplyTime
PhD in Family Sociology - Siblings
The Centre for Population, Family and Health (CPFH) is seeking to fill the following full-time (100%) vacancy
Doctoral Grant (Fonds Voor Wetenschappelijk Onderzoek-Vlaanderen (FWO)) in the area of family sociology
Job description
You prepare a doctoral thesis in the field of family sociology, working on a project on siblings’ influence on their respective life courses (like brother, like sister ?).
You work in close collaboration with your supervisors and colleagues studying related research themes.
Project abstract
Whether and how family of origin influences the steps someone takes later in life, is a fundamental question in the social sciences. Intergenerational influences have already been studied in life events like leaving the parental home, union formation, and union dissolution. But previous research has only focused on how children imitate the family formation of their parents (i.e. intergenerational inheritance). In this project, we shift the focus from intergenerational to intragenerational influences in families. The proposed project studies whether and how siblings influence each other’s family life courses.
The project uses a sequential QUAN-qual mixed methods approach. For the QUAN-part, data from Belgian national registers are drawn from the Crossroads Bank for Social Security. This allows us to follow siblings through time and model their family dynamics with event history techniques. For the qual-part, data from in-depth interviews will be obtained in order to gain further insights in the objective and subjective factors that influence sibling effects on these three life course transitions. The project contributes to the existing state of the literature by investigating new directions through which family of origin influences family pathways.
Profile and requirements
You hold a master degree in social sciences, preferably in sociology, or economic sciences.
You can submit outstanding academic results.
You have an interest in family sociology and life course sociology.
You are capable of executing quantitative research.
You are capable of applying (or learning) advanced statistical analysis techniques (multi-level analysis, structural equation modeling).
Your academic English and writing skills allow you to successfully communicate research results.
Your academic qualities comply with the requirements stipulated in the university’s policy.
You are quality-oriented, conscientious, creative and cooperative.
Also master students in the final year of their degree can apply.
Foreign candidates are encouraged to apply.
We offer
a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
the start date of scholarship will be September 1st or October 1st 2019;
a monthly grant amount ranging from € 2.373,36 - € 2.516.73;
a dynamic and stimulating work environment.
How to apply?
Applications may only be submitted online, until June 30th 2019;
A pre-selection will be made from amongst the submitted applications. The remainder of the selection procedure is specific to the position and will be determined by the selection panel.
The interviews will take place on Friday July 5th.
More information about the application form can be obtained from vacatures@uantwerpen.be.
For questions about the profile and the description of duties, please contact prof. Dimitri Mortelmans (dimitri.mortelmans@uantwerpen.be).
The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label HR Excellence in research.
We support the Science4Refugees initiative and encourage asylum-seeking, refugee scientists and researchers to apply for a job at the University of Antwerp.
More Info
✔️ @ApplyTime
The Centre for Population, Family and Health (CPFH) is seeking to fill the following full-time (100%) vacancy
Doctoral Grant (Fonds Voor Wetenschappelijk Onderzoek-Vlaanderen (FWO)) in the area of family sociology
Job description
You prepare a doctoral thesis in the field of family sociology, working on a project on siblings’ influence on their respective life courses (like brother, like sister ?).
You work in close collaboration with your supervisors and colleagues studying related research themes.
Project abstract
Whether and how family of origin influences the steps someone takes later in life, is a fundamental question in the social sciences. Intergenerational influences have already been studied in life events like leaving the parental home, union formation, and union dissolution. But previous research has only focused on how children imitate the family formation of their parents (i.e. intergenerational inheritance). In this project, we shift the focus from intergenerational to intragenerational influences in families. The proposed project studies whether and how siblings influence each other’s family life courses.
The project uses a sequential QUAN-qual mixed methods approach. For the QUAN-part, data from Belgian national registers are drawn from the Crossroads Bank for Social Security. This allows us to follow siblings through time and model their family dynamics with event history techniques. For the qual-part, data from in-depth interviews will be obtained in order to gain further insights in the objective and subjective factors that influence sibling effects on these three life course transitions. The project contributes to the existing state of the literature by investigating new directions through which family of origin influences family pathways.
Profile and requirements
You hold a master degree in social sciences, preferably in sociology, or economic sciences.
You can submit outstanding academic results.
You have an interest in family sociology and life course sociology.
You are capable of executing quantitative research.
You are capable of applying (or learning) advanced statistical analysis techniques (multi-level analysis, structural equation modeling).
Your academic English and writing skills allow you to successfully communicate research results.
Your academic qualities comply with the requirements stipulated in the university’s policy.
You are quality-oriented, conscientious, creative and cooperative.
Also master students in the final year of their degree can apply.
Foreign candidates are encouraged to apply.
We offer
a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
the start date of scholarship will be September 1st or October 1st 2019;
a monthly grant amount ranging from € 2.373,36 - € 2.516.73;
a dynamic and stimulating work environment.
How to apply?
Applications may only be submitted online, until June 30th 2019;
A pre-selection will be made from amongst the submitted applications. The remainder of the selection procedure is specific to the position and will be determined by the selection panel.
The interviews will take place on Friday July 5th.
More information about the application form can be obtained from vacatures@uantwerpen.be.
For questions about the profile and the description of duties, please contact prof. Dimitri Mortelmans (dimitri.mortelmans@uantwerpen.be).
The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label HR Excellence in research.
We support the Science4Refugees initiative and encourage asylum-seeking, refugee scientists and researchers to apply for a job at the University of Antwerp.
More Info
✔️ @ApplyTime
PhD Scholarship Position in Adaptive Li-ion Battery Modelling for High-performance Usage
At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.
We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master's Programs "Biomedical Engineering", "Electric Power Engineering", "Systems, Control and Mechatronics" and "Communication Engineering".
Read more at www.chalmers.se/en/departments/e2
Information about the research and the project
The position is with the Automatic Control group in the division of Systems and Control. Aiming for sustainable solutions, the group is involved in many research projects on energy savings using automatic control methods. In general the projects are carried out in collaboration with other research groups, institutes and industry.
The interest and use of battery based electric, hybrid electric and plug-in hybrid electric vehicles, are steadily increasing and are gradually replacing the traditional combustion engine based vehicles due to environmental concern and legislation. In order to use the batteries optimally, and minimize the use of fuel and energy, advanced control algorithms are required in the battery management system (BMS). Its perhaps most important function is to estimate and predict the charge and discharge powers allowed in order to not prematurely age or damage the battery cells. Today, it is at best calculated using simple equivalent circuit models and fixed limits on voltage and current, which have been experimentally determined on beforehand. The actual limits for when the cells are getting damaged, however, are dependent on potentials and conditions inside the cell. These limits are in fact time-varying and depend on the operating conditions and the status (age) of the cell. The goal of this project is to develop a method for how to derive adaptive model based algorithms estimating these interior limits and also the aging properties of the cells. Using the algorithms the power capacity of the battery can then be better utilized; charging can be made faster, the life-time increased and the energy management in hybrid vehicles be improved.
The Automatic Control research group at the department has a well established research group in the area of electrified vehicles. This project is in part a collaboration between the Automatic Control research group at Chalmers and Volvo Cars, who will provide aged cells and data. The position is at Chalmers but you will be working in close cooperation with researchers, battery experts and developers at both Chalmers and Volvo Cars. There will also be a cooperation with Department of Physics who provides cell expertice, experimental facilities and will aid in the construction of test cells for experimental validation.
More Info
✔️ @ApplyTime
At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.
We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.
The department provides about 100 courses, of which most are included in the Master's Programs "Biomedical Engineering", "Electric Power Engineering", "Systems, Control and Mechatronics" and "Communication Engineering".
Read more at www.chalmers.se/en/departments/e2
Information about the research and the project
The position is with the Automatic Control group in the division of Systems and Control. Aiming for sustainable solutions, the group is involved in many research projects on energy savings using automatic control methods. In general the projects are carried out in collaboration with other research groups, institutes and industry.
The interest and use of battery based electric, hybrid electric and plug-in hybrid electric vehicles, are steadily increasing and are gradually replacing the traditional combustion engine based vehicles due to environmental concern and legislation. In order to use the batteries optimally, and minimize the use of fuel and energy, advanced control algorithms are required in the battery management system (BMS). Its perhaps most important function is to estimate and predict the charge and discharge powers allowed in order to not prematurely age or damage the battery cells. Today, it is at best calculated using simple equivalent circuit models and fixed limits on voltage and current, which have been experimentally determined on beforehand. The actual limits for when the cells are getting damaged, however, are dependent on potentials and conditions inside the cell. These limits are in fact time-varying and depend on the operating conditions and the status (age) of the cell. The goal of this project is to develop a method for how to derive adaptive model based algorithms estimating these interior limits and also the aging properties of the cells. Using the algorithms the power capacity of the battery can then be better utilized; charging can be made faster, the life-time increased and the energy management in hybrid vehicles be improved.
The Automatic Control research group at the department has a well established research group in the area of electrified vehicles. This project is in part a collaboration between the Automatic Control research group at Chalmers and Volvo Cars, who will provide aged cells and data. The position is at Chalmers but you will be working in close cooperation with researchers, battery experts and developers at both Chalmers and Volvo Cars. There will also be a cooperation with Department of Physics who provides cell expertice, experimental facilities and will aid in the construction of test cells for experimental validation.
More Info
✔️ @ApplyTime
8 PhD positions at the Faculty of Law
There are eight (8) PhD positions vacant at the Faculty of Law, University of Bergen.
The positions are for a fixed-term period of 3 years, with the possibility for a 4th year, consisting of 25 per cent compulsory work distributed across the employment period. A 4th year is contingent on the qualifications of the candidate.
Qualifications and personal qualities
The successful applicant is expected to have his/her workplace at the University of Bergen and conform to the regulations that apply to the position at all times.
The applicant:
Must hold a master's degree in law or equivalent, or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded.
Must through the grades received in the master’s degree or equivalent and/or written works, have demonstrated a high professional level that qualifies for legal work
Is expected to work independently and in a structured manner, and have the ability to cooperate with others
Is expected to contribute in the development of the discipline
Is expected to participate in the development of a good academic environment
Must be proficient in both written and oral English
More Info
✔️ @ApplyTime
There are eight (8) PhD positions vacant at the Faculty of Law, University of Bergen.
The positions are for a fixed-term period of 3 years, with the possibility for a 4th year, consisting of 25 per cent compulsory work distributed across the employment period. A 4th year is contingent on the qualifications of the candidate.
Qualifications and personal qualities
The successful applicant is expected to have his/her workplace at the University of Bergen and conform to the regulations that apply to the position at all times.
The applicant:
Must hold a master's degree in law or equivalent, or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded.
Must through the grades received in the master’s degree or equivalent and/or written works, have demonstrated a high professional level that qualifies for legal work
Is expected to work independently and in a structured manner, and have the ability to cooperate with others
Is expected to contribute in the development of the discipline
Is expected to participate in the development of a good academic environment
Must be proficient in both written and oral English
More Info
✔️ @ApplyTime
Research Scientist Application Form
The Data Science team at Yahoo Research is looking for a top researcher who likes to roll up her/his sleeves to make new discoveries that contribute to the success of the business, and can be presented at the top scientific conferences.
Minimum Qualifications
- PhD in Computer Science or related fields.
- Strong academic research track record in one of the following areas: Data Mining, Applied Machine Learning, NLP, Visualization, and related areas.
- Strong implementation skills in Java, Scala, Python etc. Experience with large-scale production code development a plus.
- Ability to conduct research that is justified and guided by business opportunities
- Strong communication and presentation skills.
Please fill in the form below to apply. Any questions: yifanhu@verizonmedia.com
Apply
✔️ @ApplyTime
The Data Science team at Yahoo Research is looking for a top researcher who likes to roll up her/his sleeves to make new discoveries that contribute to the success of the business, and can be presented at the top scientific conferences.
Minimum Qualifications
- PhD in Computer Science or related fields.
- Strong academic research track record in one of the following areas: Data Mining, Applied Machine Learning, NLP, Visualization, and related areas.
- Strong implementation skills in Java, Scala, Python etc. Experience with large-scale production code development a plus.
- Ability to conduct research that is justified and guided by business opportunities
- Strong communication and presentation skills.
Please fill in the form below to apply. Any questions: yifanhu@verizonmedia.com
Apply
✔️ @ApplyTime
Research Fellow in Serendipity in Research and Innovation x2 posts Ref: 1191
School/department: University of Sussex Business School / Science Policy Research Unit
Hours: Full Time. Requests for flexible working options will be considered (subject to business need).
Contract: Fixed term for 2 years, with the possibility of extension
Reference:1191
Salary: Grade 7 starting at £33,199 to £39,609 per annum,
or Grade 8, starting at £40,792 to £48,677 per annum
Placed on: 2 May 2019
Closing date: 12 June 2019. Applications must be received by midnight of the closing date.
Expected interview date: 21 June 2019
Expected start date: As soon as possible, negotiable
Job description
The Science Policy Research Unit (SPRU), within the University of Sussex Business School, is seeking to appoint two Research Fellows to join the Serendipity in Research and Innovation (SIRI) project team led by Dr Ohid Yaqub. SIRI will investigate the role, management and impact of serendipity on research performance, focusing on the desirability and feasibility of targeting research. The 5-year European Research Council funded project is in its first year, and was recently profiled in a lead editorial in Nature.
The Research Fellows will contribute to the development of the serendipity concept, mapping research activity using innovative techniques, data discovery and collection, database management, data processing and analysis, and data visualization. There is also scope for the Research Fellows to pursue their own interests. Essential criteria for the posts are:
A PhD or equivalent experience in a relevant discipline. Applications from the natural sciences and humanities, as well the social sciences are welcome.
Fluency in oral and written English.
Sympathy for mixed methods and interdisciplinary study.
Experience working with datasets.
Ability to draw on a range of data science, statistical and/or bibliometric techniques.
An interest in science and technology policy studies and the ‘science of science’
The Research Fellows may be appointed at Grade 7 or 8, dependent on experience.
Informal enquiries are encouraged, and should be directed to Dr Ohid Yaqub o.yaqub@sussex.ac.uk
Download job description and person specification Ref 1191 [PDF 138.21KB]
✔️ @ApplyTime
School/department: University of Sussex Business School / Science Policy Research Unit
Hours: Full Time. Requests for flexible working options will be considered (subject to business need).
Contract: Fixed term for 2 years, with the possibility of extension
Reference:1191
Salary: Grade 7 starting at £33,199 to £39,609 per annum,
or Grade 8, starting at £40,792 to £48,677 per annum
Placed on: 2 May 2019
Closing date: 12 June 2019. Applications must be received by midnight of the closing date.
Expected interview date: 21 June 2019
Expected start date: As soon as possible, negotiable
Job description
The Science Policy Research Unit (SPRU), within the University of Sussex Business School, is seeking to appoint two Research Fellows to join the Serendipity in Research and Innovation (SIRI) project team led by Dr Ohid Yaqub. SIRI will investigate the role, management and impact of serendipity on research performance, focusing on the desirability and feasibility of targeting research. The 5-year European Research Council funded project is in its first year, and was recently profiled in a lead editorial in Nature.
The Research Fellows will contribute to the development of the serendipity concept, mapping research activity using innovative techniques, data discovery and collection, database management, data processing and analysis, and data visualization. There is also scope for the Research Fellows to pursue their own interests. Essential criteria for the posts are:
A PhD or equivalent experience in a relevant discipline. Applications from the natural sciences and humanities, as well the social sciences are welcome.
Fluency in oral and written English.
Sympathy for mixed methods and interdisciplinary study.
Experience working with datasets.
Ability to draw on a range of data science, statistical and/or bibliometric techniques.
An interest in science and technology policy studies and the ‘science of science’
The Research Fellows may be appointed at Grade 7 or 8, dependent on experience.
Informal enquiries are encouraged, and should be directed to Dr Ohid Yaqub o.yaqub@sussex.ac.uk
Download job description and person specification Ref 1191 [PDF 138.21KB]
✔️ @ApplyTime
Independent Research Fellow in Neural Data Science (UK)
The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment.
We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently.
For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2
For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019
Please send informal enquiries to Professor Mark Humphries: mark.humphries@nottingham.ac.uk
✔️ @ApplyTime
The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment.
We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently.
For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2
For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019
Please send informal enquiries to Professor Mark Humphries: mark.humphries@nottingham.ac.uk
✔️ @ApplyTime
Medium
A neural data science: how and why
The rough guide to doing data science on neurons
8 Doctoral Positions in Perception and Action
The International Research Training Group (IRTG) The Brain in Action - BrainAct, funded by the German Research Foundation (DFG), invites applications for
8 Research Assistants (Doctoral candidates)
Salary and benefits are according to a public service position in Germany (TV-H E 13, 65 %). The part-time positions are to be staffed starting at the 1st October 2019 or soon thereafter over a maximum period of up to 3 years and will offer the possibility of further scientific qualification in the frame of the assigned duties.
The IRTG BrainAct is a joint doctoral research and training program of two German and three Canadian Universities: University of Marburg and University of Giessen on the German side and Queen’s University (Kingston), Western University (London), and York University (Toronto) on the Canadian side. Announced positions are to be filled at the Universities of Marburg and Giessen.
The IRTG is situated at the Universities of Marburg and Giessen. A significant part of each research project (obligatory: 6 to 12 months) will be performed at the partner sites in Canada. Doctoral candidates will attend a structured doctoral program including seminar and lecture series and practical courses and will be jointly supervised by German and Canadian researchers. Further information can be found at our website: www.irtg-brainact.de/.
In the context of the transferred tasks the possibility for independent scientific work is offered, which serves the own scientific qualification. The time limit is based on § 2 para. 1 sentence 1 WissZeitVG.
The key goal of the IRTG is to deepen the understanding of the neural systems and processes that underlie perception and action in everyday living. Research will focus on action control in natural environments, multisensory perception for action, representation of action-space, or predictive mechanisms in action. We apply a variety of research methods, such as tracking of eye- and hand-movements, virtual reality, neurophysiology, EEG, fMRI, and computational modeling.
A completed academic degree (diploma, master or equivalent) in the field of biomedical, life and natural sciences including psychology is required.
We support women and strongly encourage them to apply. In areas where women are under-represented, female applicants will be preferred in case of equal qualifications. Applicants with children are welcome – Universities of Marburg and Giessen are certified as a family-friendly university. Sharing a full-time position (§ 8 Abs. 2 S. 1 HGlG) as well as a reduction of working time is possible. Applicants with a disability as described in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications. Application and interview costs cannot be reimbursed.
Please send your application including a statement of purpose (in English, no longer than three pages), curriculum vitae (in English), two recent letters of reference (in English or German), copies of earned degrees including copy of higher education entrance qualification (in English or German) with the registration number fb13-0019-wmz-2019 by June 07, by mail to University of Marburg, Dept. Neurophysics, Sigrid Thomas, Karl-von-Frisch-Strasse 8a, D-35043 Marburg, Germany or electronically as a single pdf-document to thomas@staff.uni-marburg.de.
Informal inquiries can be sent to Frank Bremmer (frank.bremmer@physik.uni-marburg.de) or Katja Fiehler (katja.fiehler@psychol.uni-giessen.de), the speakers of the IRTG.
✔️ @ApplyTime
The International Research Training Group (IRTG) The Brain in Action - BrainAct, funded by the German Research Foundation (DFG), invites applications for
8 Research Assistants (Doctoral candidates)
Salary and benefits are according to a public service position in Germany (TV-H E 13, 65 %). The part-time positions are to be staffed starting at the 1st October 2019 or soon thereafter over a maximum period of up to 3 years and will offer the possibility of further scientific qualification in the frame of the assigned duties.
The IRTG BrainAct is a joint doctoral research and training program of two German and three Canadian Universities: University of Marburg and University of Giessen on the German side and Queen’s University (Kingston), Western University (London), and York University (Toronto) on the Canadian side. Announced positions are to be filled at the Universities of Marburg and Giessen.
The IRTG is situated at the Universities of Marburg and Giessen. A significant part of each research project (obligatory: 6 to 12 months) will be performed at the partner sites in Canada. Doctoral candidates will attend a structured doctoral program including seminar and lecture series and practical courses and will be jointly supervised by German and Canadian researchers. Further information can be found at our website: www.irtg-brainact.de/.
In the context of the transferred tasks the possibility for independent scientific work is offered, which serves the own scientific qualification. The time limit is based on § 2 para. 1 sentence 1 WissZeitVG.
The key goal of the IRTG is to deepen the understanding of the neural systems and processes that underlie perception and action in everyday living. Research will focus on action control in natural environments, multisensory perception for action, representation of action-space, or predictive mechanisms in action. We apply a variety of research methods, such as tracking of eye- and hand-movements, virtual reality, neurophysiology, EEG, fMRI, and computational modeling.
A completed academic degree (diploma, master or equivalent) in the field of biomedical, life and natural sciences including psychology is required.
We support women and strongly encourage them to apply. In areas where women are under-represented, female applicants will be preferred in case of equal qualifications. Applicants with children are welcome – Universities of Marburg and Giessen are certified as a family-friendly university. Sharing a full-time position (§ 8 Abs. 2 S. 1 HGlG) as well as a reduction of working time is possible. Applicants with a disability as described in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications. Application and interview costs cannot be reimbursed.
Please send your application including a statement of purpose (in English, no longer than three pages), curriculum vitae (in English), two recent letters of reference (in English or German), copies of earned degrees including copy of higher education entrance qualification (in English or German) with the registration number fb13-0019-wmz-2019 by June 07, by mail to University of Marburg, Dept. Neurophysics, Sigrid Thomas, Karl-von-Frisch-Strasse 8a, D-35043 Marburg, Germany or electronically as a single pdf-document to thomas@staff.uni-marburg.de.
Informal inquiries can be sent to Frank Bremmer (frank.bremmer@physik.uni-marburg.de) or Katja Fiehler (katja.fiehler@psychol.uni-giessen.de), the speakers of the IRTG.
✔️ @ApplyTime
Philipps-Universität Marburg
The Brain in Action
Fully funded PhD position on "Integration of symbolic knowledge into deep learning", Inria, France
Dear list,
Inria is offering a fully funded PhD position on "Integration of
symbolic knowledge into deep learning". For details and to apply, see:
https://jobs.inria.fr/public/classic/en/offres/2019-01676
Applications will be reviewed on a continuous basis until June 21.
Best,
--
Emmanuel Vincent
Senior Research Scientist & Deputy Head of Science
Inria Nancy - Grand Est
615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France
Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319
Web: http://members.loria.fr/evincent/
✔️ @ApplyTime
Dear list,
Inria is offering a fully funded PhD position on "Integration of
symbolic knowledge into deep learning". For details and to apply, see:
https://jobs.inria.fr/public/classic/en/offres/2019-01676
Applications will be reviewed on a continuous basis until June 21.
Best,
--
Emmanuel Vincent
Senior Research Scientist & Deputy Head of Science
Inria Nancy - Grand Est
615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France
Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319
Web: http://members.loria.fr/evincent/
✔️ @ApplyTime
Inria
PhD Position F/M Integration of symbolic knowledge into deep learning
Offre d'emploi Inria
Post-Doctorate Researcher / Academic Associate UAS
The HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, is recruiting for the HETS School of Social Work a: POST-DOCTORATE RESEARCHER / ACADEMIC ASSOCIATE UAS in social sciences specialised in mixed methods, at 70%
The associated researcher will work on a 36 month project on the life course of children of migrants and their transition to adulthood. This project is part of the NCCR LIVES. The team is composed of Professors Claudio Bolzman, Milena Chimienti and Jean-Marie Le Goff.
Mission:
Quantitative analysison existing data basis (LIVES-FORS-COHORT and TREE) in the fieldof the transition to adulthood of children of migrants;
Conducting andanalysing qualitative interviews in different cities in Switzerland;
Managing a team of interviewers.Profile:
PhD in social sciences with a specialisation in mixed methods;
Expertise in quantitative and qualitative methods;
Knowledge on migration studies, youth and life course research would be a plus, ideally previous field experience;
Fluent in French and English, knowledge in German would be a plus;
Ability to work as partof a team and independently;
Good organisation skills.
Characteristics of the position:
The successful candidate will be initially offered a 1 year contract, renewabletwice (36 months in total), subject to Swiss private law and the SNSF salary scale.
Deadline for applications:15.06.2019
Starting date: 01.09.2019
Workplaces: University of Applied Sciences and Arts, School of Social Work and Universityof Lausanne
The HES-SO Geneva / HETS and UNIL are an equal opportunity employer and in favour of diversity.
Please submit your full application (CV and Cover letter of academic degrees) by mail to rh.hets@hesge.ch
For additional information, please contact Prof. Chimienti at the following email address: Milena.Chimienti@hesge.ch
✔️ @ApplyTime
The HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, is recruiting for the HETS School of Social Work a: POST-DOCTORATE RESEARCHER / ACADEMIC ASSOCIATE UAS in social sciences specialised in mixed methods, at 70%
The associated researcher will work on a 36 month project on the life course of children of migrants and their transition to adulthood. This project is part of the NCCR LIVES. The team is composed of Professors Claudio Bolzman, Milena Chimienti and Jean-Marie Le Goff.
Mission:
Quantitative analysison existing data basis (LIVES-FORS-COHORT and TREE) in the fieldof the transition to adulthood of children of migrants;
Conducting andanalysing qualitative interviews in different cities in Switzerland;
Managing a team of interviewers.Profile:
PhD in social sciences with a specialisation in mixed methods;
Expertise in quantitative and qualitative methods;
Knowledge on migration studies, youth and life course research would be a plus, ideally previous field experience;
Fluent in French and English, knowledge in German would be a plus;
Ability to work as partof a team and independently;
Good organisation skills.
Characteristics of the position:
The successful candidate will be initially offered a 1 year contract, renewabletwice (36 months in total), subject to Swiss private law and the SNSF salary scale.
Deadline for applications:15.06.2019
Starting date: 01.09.2019
Workplaces: University of Applied Sciences and Arts, School of Social Work and Universityof Lausanne
The HES-SO Geneva / HETS and UNIL are an equal opportunity employer and in favour of diversity.
Please submit your full application (CV and Cover letter of academic degrees) by mail to rh.hets@hesge.ch
For additional information, please contact Prof. Chimienti at the following email address: Milena.Chimienti@hesge.ch
✔️ @ApplyTime
Two Research Fellow Positions in robot learning and manipulation @ L-CAS, Lincoln, UK
Dear colleagues,
We are looking to recruit two Postdoctoral Research Fellows with research profiles in robotics, robot learning, teleoperation and shared control, robot perception, robot grasping, robot motion planning to join our growing robotics research team at Lincoln Centre for Autonomous Systems Research (L-CAS), University of Lincoln.
Please apply here: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS631A
Closing Date: Tuesday 11 June 2019
Salary: From £33,199 per annum
This post is full time and fixed term until 31st March 2021, but renewal of contract at the end of the term is possible
The successful candidates will work within the CHIST-ERA funded HEAP project (and related projects), which is a European consortium that investigates robotic sorting of unstructured heaps of unknown objects. The consortium consists of the University of Lincoln (leading), TU Wien (Markus Vinze), IDIAP in Switzerland (Jean-Marc Odobez), INRIA Nancy (Serena Ivaldi) and IIT in Italy (Lorenzo Natale). Our team will investigate novel robot manipulation and machine learning algorithms that can learn from human guidance and shared control. Robotic heap sorting is of interest for many applications, such as nuclear decommissioning, recycling and manufacturing. The work will also be highly aligned with the National Center for Nuclear Robotics (NCNR) where Lincoln is a core partner. We offer excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems of great societal need. Moreover, you will have access to state-of-the-art research robot equipment consisting of cutting-edge robot arms.
We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in a number of research areas, including (but not limited to):
- Robot Grasping and Manipulation
- Teleoperation and Shared Control
- Robot Vision and Perception
- Learning from Demonstrations
- Reinforcement Learning
- Learning from Human Feedback
You will be placed at the centre of this exciting project, collaborating closely with other researchers and universities, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on algorithm development and software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of the Lincoln Centre for Autonomous Systems (L-CAS). Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.
Informal enquiries about the post can be made to Prof. Gerhard Neumann (email: gneumann@lincoln.ac.uk) and Dr. Ayse Kucukyilmaz (AKucukyilmaz@lincoln.ac.uk).
✔️ @ApplyTime
Dear colleagues,
We are looking to recruit two Postdoctoral Research Fellows with research profiles in robotics, robot learning, teleoperation and shared control, robot perception, robot grasping, robot motion planning to join our growing robotics research team at Lincoln Centre for Autonomous Systems Research (L-CAS), University of Lincoln.
Please apply here: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS631A
Closing Date: Tuesday 11 June 2019
Salary: From £33,199 per annum
This post is full time and fixed term until 31st March 2021, but renewal of contract at the end of the term is possible
The successful candidates will work within the CHIST-ERA funded HEAP project (and related projects), which is a European consortium that investigates robotic sorting of unstructured heaps of unknown objects. The consortium consists of the University of Lincoln (leading), TU Wien (Markus Vinze), IDIAP in Switzerland (Jean-Marc Odobez), INRIA Nancy (Serena Ivaldi) and IIT in Italy (Lorenzo Natale). Our team will investigate novel robot manipulation and machine learning algorithms that can learn from human guidance and shared control. Robotic heap sorting is of interest for many applications, such as nuclear decommissioning, recycling and manufacturing. The work will also be highly aligned with the National Center for Nuclear Robotics (NCNR) where Lincoln is a core partner. We offer excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems of great societal need. Moreover, you will have access to state-of-the-art research robot equipment consisting of cutting-edge robot arms.
We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in a number of research areas, including (but not limited to):
- Robot Grasping and Manipulation
- Teleoperation and Shared Control
- Robot Vision and Perception
- Learning from Demonstrations
- Reinforcement Learning
- Learning from Human Feedback
You will be placed at the centre of this exciting project, collaborating closely with other researchers and universities, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on algorithm development and software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of the Lincoln Centre for Autonomous Systems (L-CAS). Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.
Informal enquiries about the post can be made to Prof. Gerhard Neumann (email: gneumann@lincoln.ac.uk) and Dr. Ayse Kucukyilmaz (AKucukyilmaz@lincoln.ac.uk).
✔️ @ApplyTime
Job Opportunities at the University of Lincoln
Job Opportunity at the University of Lincoln: Post-doctoral Research Associate in Biophysics, Bioengineering or Mathematical Biology
This is an externally-funded PDRA position supporting the Leverhulme project “Biophysical and morphological coevolution of egg micropyles and sperm in insects”. You will work closely with an international team of researchers across...
Postdoctoral position in fluvial geomorphology and/or stream metabolism - Oregon State University
Dear Colleagues,
Please find a attached a call for a Postdoctoral position in fluvial geomorphology and/or stream metabolism modelling in the Department of Forest Engineering Resources and Management at Oregon State University. This is a 22 month post-doctoral position within a NSF funded project: Assessing the influence of lithology on primary production in mountain streams. For more information and to apply contact Dr. Catalina Segura (segurac@oregonstate.edu).
Warm regards,
Giovanny (Giova) Mosquera
(On behalf of Dr. Catalina Segura)
——————————————————————————————
We are seeking a post-doctoral scholar to work with a team of researchers from Oregon State
University on an NSF funded project: Assessing the influence of lithology on primary production in
mountain streams. This is a 22 month post-doctoral scholar position based at Oregon State
University. We seek a motivated and collaborative scientist with experience in fluvial
geomorphology and or stream metabolism modelling. The postdoctoral scholar will be expected
to lead efforts in quantifying the relationship between sediment transport and geomorphologic
setting and stream ecosystem processes (focusing on stream metabolism). As a member of the
project team she/he will be expected to contribute to other aspects of the project including, data
analysis, preparation of reports, scientific articles, and associated project deliverables. Applicants
must have defended their Ph.D. by the start of the appointment and must have completed their
Ph.D. no more than 5 years ago. The target start-date for this position is between June 1 and
August 1 2019.
Interested applicants should submit the following: (1) Cover letter, (2) C.V., and (3) names and
contact information for three references; One or two examples of published work are welcome
but not required. For more information and to apply, contact Catalina Segura at Oregon State
University (segurac@oregonstate.edu). Please include “Stream post-doc” in the subject line of
the email. Applications will be accepted through June 15 or until filled. Anticipated Salary will
be $48-50K/annually depending in previous experience.
✔️ @ApplyTime
Dear Colleagues,
Please find a attached a call for a Postdoctoral position in fluvial geomorphology and/or stream metabolism modelling in the Department of Forest Engineering Resources and Management at Oregon State University. This is a 22 month post-doctoral position within a NSF funded project: Assessing the influence of lithology on primary production in mountain streams. For more information and to apply contact Dr. Catalina Segura (segurac@oregonstate.edu).
Warm regards,
Giovanny (Giova) Mosquera
(On behalf of Dr. Catalina Segura)
——————————————————————————————
We are seeking a post-doctoral scholar to work with a team of researchers from Oregon State
University on an NSF funded project: Assessing the influence of lithology on primary production in
mountain streams. This is a 22 month post-doctoral scholar position based at Oregon State
University. We seek a motivated and collaborative scientist with experience in fluvial
geomorphology and or stream metabolism modelling. The postdoctoral scholar will be expected
to lead efforts in quantifying the relationship between sediment transport and geomorphologic
setting and stream ecosystem processes (focusing on stream metabolism). As a member of the
project team she/he will be expected to contribute to other aspects of the project including, data
analysis, preparation of reports, scientific articles, and associated project deliverables. Applicants
must have defended their Ph.D. by the start of the appointment and must have completed their
Ph.D. no more than 5 years ago. The target start-date for this position is between June 1 and
August 1 2019.
Interested applicants should submit the following: (1) Cover letter, (2) C.V., and (3) names and
contact information for three references; One or two examples of published work are welcome
but not required. For more information and to apply, contact Catalina Segura at Oregon State
University (segurac@oregonstate.edu). Please include “Stream post-doc” in the subject line of
the email. Applications will be accepted through June 15 or until filled. Anticipated Salary will
be $48-50K/annually depending in previous experience.
✔️ @ApplyTime
PhD / Postdoc Position in NeuroComputing at TU Chemnitz (Germany)
A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative.
The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches.
The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications.
Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture.
Applications should be sent by email (preferably in PDF format) to (fred.hamker@informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled.
Prof. Dr. Fred Hamker
Künstliche Intelligenz
Fakultät für Informatik
TU Chemnitz
09107 Chemnitz
www: https://www.tu-chemnitz.de/informatik/KI/index.php.en
✔️ @ApplyTime
A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative.
The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches.
The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications.
Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture.
Applications should be sent by email (preferably in PDF format) to (fred.hamker@informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled.
Prof. Dr. Fred Hamker
Künstliche Intelligenz
Fakultät für Informatik
TU Chemnitz
09107 Chemnitz
www: https://www.tu-chemnitz.de/informatik/KI/index.php.en
✔️ @ApplyTime
www.tu-chemnitz.de
Professorship | Professorship Artificial Intelligence | Department of Computer Science | TU Chemnitz
Post-doc Position in Open-Ended Deep Reinforcement Learning
We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu). For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction.
We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus.
The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living.
Applications should be sent as a single pdf file to triesch@fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year.
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Prof. Dr. Jochen Triesch
Johanna Quandt Research Professor
Frankfurt Institute for Advanced Studies
http://fias.uni-frankfurt.de/~triesch/
✔️ @ApplyTime
We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu). For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction.
We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus.
The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living.
Applications should be sent as a single pdf file to triesch@fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year.
--
Prof. Dr. Jochen Triesch
Johanna Quandt Research Professor
Frankfurt Institute for Advanced Studies
http://fias.uni-frankfurt.de/~triesch/
✔️ @ApplyTime
Goal-based Open ended Autonomous Learning Robots
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Research Assistant & Post-doctoral Researcher positions in Social Neuroscience, Politics & Visual Culture
The team of Professor Manos Tsakiris who leads the ‘Body & Image in Arts & Science’ project (http://manostsakiris.com/index.php/research/bias/) at the The Warburg Institute (Part of the School of Advanced Study, University of London) are now recruiting for two full time, one year Research Assistant & Post-doctoral Researcher for the BIAS Project. The post will start on 1st September 2019 or soon thereafter and will last till 31st August 2020.
“Body & Image in Arts & Sciences Project” (BIAS)
The BIAS project aims at addressing timely research questions at the intersection of sciences and humanities with a particular focus on the biological mechanisms and cultural factors that shape our relations to other people in a culture powered by images. In particular, the BIAS project is focused on how we bodily and cognitively respond to photojournalistic images of human suffering, the dehumanization of social groups in the media, bodily responses to works of art, and one important overarching theme is the role of such processes for socio-political behaviour. The research aims will be addressed by a range of research activities, including experimental work, seminars, workshops, conferences, and, involving a network of international research partners in humanities, philosophy, psychology, and neuroscience. A sample of our recent work can be found here: psyarxiv.com/y69sq
Applicants for the Post-doctoral Position must have (or be expected to have submitted by the start date of the position) a PhD in Psychology, Neuroscience or a related discipline. Strong experience in the areas of social-affective neuroscience and/or political psychology is essential. Successful applicants will have strong skills in experimental design, programming, data management and statistics of behavioural and psychophysiological data. Experience with fMRI and/or EEG are highly desirable. The post-holder’s main duties and responsibilities will be to (i) initiate new lines of research as part of the BIAS project, (ii) design and implement online and lab-based experiments and (iii) contribute to the overall activities of the team.
The post-holder must also be prepared to acquire, with the guidance of the investigator, knowledge of theoretical issues in humanities, including history of culture and philosophy of mind/ perception. He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, as well as access to functional neuroimaging facilities at Royal Holloway, University of London and/or School of Advanced Study.
Applicants for the Research Assistant position must have academic qualifications (BSc, MSc in Psychology and/or Cognitive Neuroscience). He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, and will assist mainly with participant recruitment, data collection, data analysis and preparation of scientific publications, presentations and the digital dissemination of the key findings and activities.
The posts will start on 1st September 2019 or soon thereafter.
The posts are full-time for one year (September 2019 to August 2020) associated with the project “Body & Image in Arts & Sciences” (BIAS), http://manostsakiris.com/index.php/research/bias/ led by Professor Manos Tsakiris, and funded by the NOMIS Foundation.
To apply for the Post-doctoral position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1438 (deadline 1st July 2019)
To apply for the Research Assistant position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1422 (deadline 16th June 2019)
✔️ @ApplyTime
The team of Professor Manos Tsakiris who leads the ‘Body & Image in Arts & Science’ project (http://manostsakiris.com/index.php/research/bias/) at the The Warburg Institute (Part of the School of Advanced Study, University of London) are now recruiting for two full time, one year Research Assistant & Post-doctoral Researcher for the BIAS Project. The post will start on 1st September 2019 or soon thereafter and will last till 31st August 2020.
“Body & Image in Arts & Sciences Project” (BIAS)
The BIAS project aims at addressing timely research questions at the intersection of sciences and humanities with a particular focus on the biological mechanisms and cultural factors that shape our relations to other people in a culture powered by images. In particular, the BIAS project is focused on how we bodily and cognitively respond to photojournalistic images of human suffering, the dehumanization of social groups in the media, bodily responses to works of art, and one important overarching theme is the role of such processes for socio-political behaviour. The research aims will be addressed by a range of research activities, including experimental work, seminars, workshops, conferences, and, involving a network of international research partners in humanities, philosophy, psychology, and neuroscience. A sample of our recent work can be found here: psyarxiv.com/y69sq
Applicants for the Post-doctoral Position must have (or be expected to have submitted by the start date of the position) a PhD in Psychology, Neuroscience or a related discipline. Strong experience in the areas of social-affective neuroscience and/or political psychology is essential. Successful applicants will have strong skills in experimental design, programming, data management and statistics of behavioural and psychophysiological data. Experience with fMRI and/or EEG are highly desirable. The post-holder’s main duties and responsibilities will be to (i) initiate new lines of research as part of the BIAS project, (ii) design and implement online and lab-based experiments and (iii) contribute to the overall activities of the team.
The post-holder must also be prepared to acquire, with the guidance of the investigator, knowledge of theoretical issues in humanities, including history of culture and philosophy of mind/ perception. He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, as well as access to functional neuroimaging facilities at Royal Holloway, University of London and/or School of Advanced Study.
Applicants for the Research Assistant position must have academic qualifications (BSc, MSc in Psychology and/or Cognitive Neuroscience). He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, and will assist mainly with participant recruitment, data collection, data analysis and preparation of scientific publications, presentations and the digital dissemination of the key findings and activities.
The posts will start on 1st September 2019 or soon thereafter.
The posts are full-time for one year (September 2019 to August 2020) associated with the project “Body & Image in Arts & Sciences” (BIAS), http://manostsakiris.com/index.php/research/bias/ led by Professor Manos Tsakiris, and funded by the NOMIS Foundation.
To apply for the Post-doctoral position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1438 (deadline 1st July 2019)
To apply for the Research Assistant position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1422 (deadline 16th June 2019)
✔️ @ApplyTime
PsyArXiv
When the lens is too wide: the visual dehumanization of refugees and its political consequences
Photojournalistic images shape our understanding of sociopolitical events. The ways in which humans are depicted in images may have far-reaching consequences for our attitudes towards them, their well-being and our sociopolitical systems. Here, we focus on…