Postdoctoral researchers - computational modeling, EEG, TMS
Conducting interviews at SFN for a Brown University Human Imaging & Computational Neuroscience Position
Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments.
Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment.
Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels@brown.edu.
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Stephanie R. Jones, PhD
Associate Professor
Brown University
Department of Neuroscience
Stephanie_Jones@Brown.edu
✔️ @ApplyTime
Conducting interviews at SFN for a Brown University Human Imaging & Computational Neuroscience Position
Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments.
Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment.
Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels@brown.edu.
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Stephanie R. Jones, PhD
Associate Professor
Brown University
Department of Neuroscience
Stephanie_Jones@Brown.edu
✔️ @ApplyTime
Interviews at SfN 2018 for a Postdoctoral Researcher in Bioelectronic Medicine / Neurotechnology
Attending Neuroscience 2018 in San Diego? Apply to be considered for an interview during the conference by sending your CV to tzanos@northwell.edu
The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, headed by Assistant Professor Theo Zanos PhD, focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time.
The successful candidate will develop or deploy computational tools, will take part in neurophysiology experiments and collect data, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. The position comes with considerably competitive compensation.
Job Responsibilities Include:
Develops computational tools for neuroscience research.
Run neurophysiology experiments.
Performs bioelectronic medicine research.
Collaborates with other research staff.
Responsible for the planning, collection, organization, analysis, and interpretation of research data related to one or more projects
Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required
Authored/co-authored research papers and/or scientific abstracts, required
Experience with various signal processing and machine learning methods, required
Strong programming skills of Matlab, required, Python, C++, preferred
Research experience in neurophysiology/neuroscience/animal surgery, preferred
✔️ @ApplyTime
Attending Neuroscience 2018 in San Diego? Apply to be considered for an interview during the conference by sending your CV to tzanos@northwell.edu
The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, headed by Assistant Professor Theo Zanos PhD, focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time.
The successful candidate will develop or deploy computational tools, will take part in neurophysiology experiments and collect data, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. The position comes with considerably competitive compensation.
Job Responsibilities Include:
Develops computational tools for neuroscience research.
Run neurophysiology experiments.
Performs bioelectronic medicine research.
Collaborates with other research staff.
Responsible for the planning, collection, organization, analysis, and interpretation of research data related to one or more projects
Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required
Authored/co-authored research papers and/or scientific abstracts, required
Experience with various signal processing and machine learning methods, required
Strong programming skills of Matlab, required, Python, C++, preferred
Research experience in neurophysiology/neuroscience/animal surgery, preferred
✔️ @ApplyTime
Ph.D. positions in Cognitive Neuroscience on spatial navigation, memory and conceptual processing
My newly established lab at the Center for Mind/Brain Sciences in Trento (Northern Italy) is looking for Ph.D. candidates interested in studying the neural mechanisms of spatial navigation, conceptual knowledge, and their interaction. The post-holder will work in the context of an ERC-Starting Grant (NOAM) on the spatial organization of declarative knowledge.
The ideal candidates should have excellent understanding of neuroimaging data analysis, as well as strong programming skills (matlab, python, R, etc.). Experience with state of the art data analysis techniques (e.g., Representational Similarity Analysis, MVPA, hexadirectional coding), as well as computational approaches to cognitive neuroscience and/or computational linguistics are a plus. Excellent English (oral and written) and good communication skills are necessary.
The university of Trento is one of the best University in Italy, and in 2018 was the best Italian university in the European Teaching Ranking. Moreover the Center for Mind/Brain Sciences (CIMeC) has been recently ranked as the leading Cognitive Neuroscience research unit in Italy. Its faculty have won several highly competitive grants on the international and national levels, including European Research Council (ERC) Starting, Consolidator and Advanced grants, as well as highly competitive grants awarded by the local province.
The research center has amazing facilities, including a brand new 3T fMRI scanner Siemens Trio (100% research), and an Elekta 306 channel MEG system. Different brain stimulation devices are available, including a TMS- EEG combined set up. We may also have access, through external collaborations, to a 7T scanner. The official language in the center is English and several students, researchers and PIs come from abroad.
The Trentino region is at the top level for quality of life in Europe, with fantastic nature (the Dolomite, lake Garda), great infrastructures and welfare. The weather is beautiful and the food is delicious.
Although the Ph.D. program selection will be in March 2019 (Start in November 2019), we invite applications as soon as possible. Pre-doctoral scholarship (e.g. March-November 2019) can be made available to selected candidates. The interested candidates should email Roberto Bottini for questions and applications. Please send an email with the subject “Post-doc position ERC - NOAM” with your curriculum vitae, the name and contact of two referees and a short description of your experience in the field and your fit with the requirements. Informal inquiries are most welcome.
Email: roberto.bottini@unitn.it
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Roberto Bottini
Post-Doctoral Fellow
CIMeC - Center for Mind/Brain Sciences
University of Trento
✔️ @ApplyTime
My newly established lab at the Center for Mind/Brain Sciences in Trento (Northern Italy) is looking for Ph.D. candidates interested in studying the neural mechanisms of spatial navigation, conceptual knowledge, and their interaction. The post-holder will work in the context of an ERC-Starting Grant (NOAM) on the spatial organization of declarative knowledge.
The ideal candidates should have excellent understanding of neuroimaging data analysis, as well as strong programming skills (matlab, python, R, etc.). Experience with state of the art data analysis techniques (e.g., Representational Similarity Analysis, MVPA, hexadirectional coding), as well as computational approaches to cognitive neuroscience and/or computational linguistics are a plus. Excellent English (oral and written) and good communication skills are necessary.
The university of Trento is one of the best University in Italy, and in 2018 was the best Italian university in the European Teaching Ranking. Moreover the Center for Mind/Brain Sciences (CIMeC) has been recently ranked as the leading Cognitive Neuroscience research unit in Italy. Its faculty have won several highly competitive grants on the international and national levels, including European Research Council (ERC) Starting, Consolidator and Advanced grants, as well as highly competitive grants awarded by the local province.
The research center has amazing facilities, including a brand new 3T fMRI scanner Siemens Trio (100% research), and an Elekta 306 channel MEG system. Different brain stimulation devices are available, including a TMS- EEG combined set up. We may also have access, through external collaborations, to a 7T scanner. The official language in the center is English and several students, researchers and PIs come from abroad.
The Trentino region is at the top level for quality of life in Europe, with fantastic nature (the Dolomite, lake Garda), great infrastructures and welfare. The weather is beautiful and the food is delicious.
Although the Ph.D. program selection will be in March 2019 (Start in November 2019), we invite applications as soon as possible. Pre-doctoral scholarship (e.g. March-November 2019) can be made available to selected candidates. The interested candidates should email Roberto Bottini for questions and applications. Please send an email with the subject “Post-doc position ERC - NOAM” with your curriculum vitae, the name and contact of two referees and a short description of your experience in the field and your fit with the requirements. Informal inquiries are most welcome.
Email: roberto.bottini@unitn.it
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******************************************
Roberto Bottini
Post-Doctoral Fellow
CIMeC - Center for Mind/Brain Sciences
University of Trento
✔️ @ApplyTime
Postdoctoral Researcher at School of Social and Behavioral Sciences, Erasmus University
JOB DESCRIPTION
You will become part of an exciting, innovative, and interdisciplinary international research team that cross-nationally examines the development of inequalities in child educational achievement.
The overall project aims to advance our understanding of disparities in child development by parental socioeconomic status (SES). It leverages rich cohort and administrative data from six countries - France, Germany, Japan, Netherlands, the United Kingdom, and the United States – embedding them in a harmonized framework. The project moves beyond cross-sectional and single country snapshots by studying the question of how inequalities develop over time (ages 3 to 16), what factors may influence inequalities and how national context may strengthen or buffer these processes. Child development is conceptualised broadly, to include cognitive, social/emotional and health outcomes, recognizing the interplay of multiple spheres of development in childhood.
More Info
✔️ @ApplyTime
JOB DESCRIPTION
You will become part of an exciting, innovative, and interdisciplinary international research team that cross-nationally examines the development of inequalities in child educational achievement.
The overall project aims to advance our understanding of disparities in child development by parental socioeconomic status (SES). It leverages rich cohort and administrative data from six countries - France, Germany, Japan, Netherlands, the United Kingdom, and the United States – embedding them in a harmonized framework. The project moves beyond cross-sectional and single country snapshots by studying the question of how inequalities develop over time (ages 3 to 16), what factors may influence inequalities and how national context may strengthen or buffer these processes. Child development is conceptualised broadly, to include cognitive, social/emotional and health outcomes, recognizing the interplay of multiple spheres of development in childhood.
More Info
✔️ @ApplyTime
Apply Time
Postdoctoral Researcher at School of Social and Behavioral Sciences, Erasmus University - Apply Time
JOB DESCRIPTION You will become part of an exciting, innovative, and interdisciplinary international research team that cross-nationally examines the development of inequalities in child educational achievement. The overall project aims to advance our understanding…
ostdoctoral Reasearchers Call (2018): FIMM, University of Helsinki
The Institute for Molecular Medicine Finland (FIMM) is an international research institute focusing on human genomics and personalized medicine at the Helsinki Institute for Life Science of the University of Helsinki. FIMM integrates molecular medicine research and technology and biobanking infrastructures under one roof, promoting translational research in grand challenge projects, specifically, the impact of genome information in personalized health and medicine, individualized cancer medicine, and novel imaging-based biomedicine.
FIMMPOD ANNUAL CALL FOR POSTDOCTORAL RESEARCHERS 2018
FIMM is a member of the Nordic EMBL Partnership for Molecular Medicine, together with the Danish Research Institute for Translational Neuroscience (DANDRITE), Laboratory for Molecular Infection Medicine Sweden (MIMS), and Centre for Molecular Medicine Norway (NCMM). The Partnership is dedicated to excellence in molecular medicine and life science research that investigates the molecular basis of disease and explores molecular and genetic based treatments, with each institute bringing a unique set of expertise, skills, and facilities encompassing the recognized research strengths of the EMBL.
More Info
✔️ @ApplyTime
The Institute for Molecular Medicine Finland (FIMM) is an international research institute focusing on human genomics and personalized medicine at the Helsinki Institute for Life Science of the University of Helsinki. FIMM integrates molecular medicine research and technology and biobanking infrastructures under one roof, promoting translational research in grand challenge projects, specifically, the impact of genome information in personalized health and medicine, individualized cancer medicine, and novel imaging-based biomedicine.
FIMMPOD ANNUAL CALL FOR POSTDOCTORAL RESEARCHERS 2018
FIMM is a member of the Nordic EMBL Partnership for Molecular Medicine, together with the Danish Research Institute for Translational Neuroscience (DANDRITE), Laboratory for Molecular Infection Medicine Sweden (MIMS), and Centre for Molecular Medicine Norway (NCMM). The Partnership is dedicated to excellence in molecular medicine and life science research that investigates the molecular basis of disease and explores molecular and genetic based treatments, with each institute bringing a unique set of expertise, skills, and facilities encompassing the recognized research strengths of the EMBL.
More Info
✔️ @ApplyTime
University of Helsinki
POSTDOCTORAL RESEARCHERS 2018 | University of Helsinki
50 Masters University Twente Scholarships
The University Twente Scholarship (UTS) is a scholarship for excellent students from both EU/EEA as well as non-EU/EEA countries, applying for a Master's programme at the University of Twente.
UTS BENEFITS
Become one of the most promising UT students.
Exclusive opportunity to take part in an intake for one of the three honours programmes: Research honours, Design honours, or Change leaders.
SCHOLARSHIP VALUE
€ 3,000 - € 25,000 for one year (approximately 50 scholarships available). If you have applied for a two-year programme, make sure you read the information about two-year study programmes below.
Have a look at the overview of the estimated costs of living in the Netherlands (excluding tuition fees).
Please note: This scholarship is meant as a compensation for study related costs. It is up to the scholarship student to decide how to spend the money. No costs (e.g. tuition fees) will be paid on your behalf.
More Info
✔️ @ApplyTime
The University Twente Scholarship (UTS) is a scholarship for excellent students from both EU/EEA as well as non-EU/EEA countries, applying for a Master's programme at the University of Twente.
UTS BENEFITS
Become one of the most promising UT students.
Exclusive opportunity to take part in an intake for one of the three honours programmes: Research honours, Design honours, or Change leaders.
SCHOLARSHIP VALUE
€ 3,000 - € 25,000 for one year (approximately 50 scholarships available). If you have applied for a two-year programme, make sure you read the information about two-year study programmes below.
Have a look at the overview of the estimated costs of living in the Netherlands (excluding tuition fees).
Please note: This scholarship is meant as a compensation for study related costs. It is up to the scholarship student to decide how to spend the money. No costs (e.g. tuition fees) will be paid on your behalf.
More Info
✔️ @ApplyTime
Universiteit Twente
University of Twente Scholarship (UTS) | Scholarship finder | University of Twente
The University of Twente offers scholarship possibilities for students applying for a bachelor's, master's or PhD programme. Find your scholarship now!
PostDoc on Visual Understanding for Cultural Heritage Technologies, Italy
PostDoc on Visual Understanding for Cultural Heritage Technologies (CCHT@Ca'Foscari) - [ Postdoc ]
Workplace: Venezia, IIT, Italy
Added on: 22/10/2018 - Expires on 21/11/2018
The IIT center at Ca' Foscari University of Venice - Center for Cultural Heritage Technology@Ca'Foscari (CCHT@Ca'Foscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by cities, galleries, libraries, archives and museums across different fields of art. CCHT@Ca'Foscari is currently seeking to appoint a Visual Understanding Postdoc.
The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next-generation 3D digitization and machine learning approaches applied to the Cultural Heritage (CH) and Digital Humanities (DH) domain.
Required qualifications:
•A Ph.D. in computer science or related field (with specialization in either computer vision, information retrieval or machine learning);
•Proficiency in programming languages, in particular, Python, C/C++, and MATLAB;
•Experience of visual recognition or understanding in 2D & 3D, e.g. attribute recognition, object recognition, relationship detection, and their multi-view equivalence;
•Practical experience on Deep Learning algorithms and relevant platforms for geometric learning (e.g. TensorFlow, PyTorch, Theano, Caffe);
•Publication in major Computer Vision and/or Computer Graphics conferences/journals (e.g. CVPR, ICCV, ECCV, SIGGRAPH, Eurographics, ToG, TPAMI, IJCV, IVC, CVIU);
•Good communication skills and ability to cooperate;
•Proficient in English language (written and oral).
Desirable skills:
•Knowledge of OpenCV, PCL, and Open3D libraries;
•Experience in graph structure applications e.g. matching, retrieval or inference;
•Knowledge of SPARQL / CIDOC;
•Experience in cultural heritage knowledge data.
The successful candidate will be offered a salary commensurate to experience and skills.
The call will remain open until the position is filled but the first deadline for evaluation of candidates will be November 21, 2018. Please send your application to ccht@iit.it and applications@iit.it quoting “CCHT Visual Understanding Postdoc – BC 75119” in the e-mail subject. Your application shall contain a detailed CV, a one-page research statement and contact information of two referees.
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.
Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce.
Please note that the data that you provide will be used exclusively for the purpose of professional profiles’evaluation and selection and in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo@iit.it)
✔️ @ApplyTime
PostDoc on Visual Understanding for Cultural Heritage Technologies (CCHT@Ca'Foscari) - [ Postdoc ]
Workplace: Venezia, IIT, Italy
Added on: 22/10/2018 - Expires on 21/11/2018
The IIT center at Ca' Foscari University of Venice - Center for Cultural Heritage Technology@Ca'Foscari (CCHT@Ca'Foscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by cities, galleries, libraries, archives and museums across different fields of art. CCHT@Ca'Foscari is currently seeking to appoint a Visual Understanding Postdoc.
The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next-generation 3D digitization and machine learning approaches applied to the Cultural Heritage (CH) and Digital Humanities (DH) domain.
Required qualifications:
•A Ph.D. in computer science or related field (with specialization in either computer vision, information retrieval or machine learning);
•Proficiency in programming languages, in particular, Python, C/C++, and MATLAB;
•Experience of visual recognition or understanding in 2D & 3D, e.g. attribute recognition, object recognition, relationship detection, and their multi-view equivalence;
•Practical experience on Deep Learning algorithms and relevant platforms for geometric learning (e.g. TensorFlow, PyTorch, Theano, Caffe);
•Publication in major Computer Vision and/or Computer Graphics conferences/journals (e.g. CVPR, ICCV, ECCV, SIGGRAPH, Eurographics, ToG, TPAMI, IJCV, IVC, CVIU);
•Good communication skills and ability to cooperate;
•Proficient in English language (written and oral).
Desirable skills:
•Knowledge of OpenCV, PCL, and Open3D libraries;
•Experience in graph structure applications e.g. matching, retrieval or inference;
•Knowledge of SPARQL / CIDOC;
•Experience in cultural heritage knowledge data.
The successful candidate will be offered a salary commensurate to experience and skills.
The call will remain open until the position is filled but the first deadline for evaluation of candidates will be November 21, 2018. Please send your application to ccht@iit.it and applications@iit.it quoting “CCHT Visual Understanding Postdoc – BC 75119” in the e-mail subject. Your application shall contain a detailed CV, a one-page research statement and contact information of two referees.
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.
Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce.
Please note that the data that you provide will be used exclusively for the purpose of professional profiles’evaluation and selection and in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo@iit.it)
✔️ @ApplyTime
IIT
Istituto Italiano di Tecnologia - Istituto Italiano di Tecnologia
Italian Institute of Technology: a research institute in computational sciences, technologies for life science, nanomaterials, and robotics. Strongly oriented to technology transfer.
Post-doctoral and Ph.D. student positions in Learning for Robotic Manipulation
To operate in environments built for humans, future robots need to possess human-like capabilities in areas such as perception, manipulation, and reasoning. Intelligent Robotics group at Aalto University’s School of Electrical Engineering works actively to develop intelligent robotic systems and robotic vision with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation with highly motivated research staff as well as with top international partners, and access to state-of-the-art platforms such as KUKA LWR 4+, Franka Emika Panda, and Care-O-Bot 4. The group is highly international and the working language is English.
More Info
✔️ @ApplyTime
To operate in environments built for humans, future robots need to possess human-like capabilities in areas such as perception, manipulation, and reasoning. Intelligent Robotics group at Aalto University’s School of Electrical Engineering works actively to develop intelligent robotic systems and robotic vision with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation with highly motivated research staff as well as with top international partners, and access to state-of-the-art platforms such as KUKA LWR 4+, Franka Emika Panda, and Care-O-Bot 4. The group is highly international and the working language is English.
More Info
✔️ @ApplyTime
Apply Time
Post-doctoral and Ph.D. student positions in Learning for Robotic Manipulation, Aalto University - Apply Time
To operate in environments built for humans, future robots need to possess human-like capabilities in areas such as perception, manipulation, and reasoning. Intelligent Robotics group at Aalto University’s School of Electrical Engineering works actively to…
Fully-funded PhD in computational neuroscience at Nottingham, deadline 31st October
Deadline: October 31st
Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-mark-humphries.aspx
The Humphries’ lab interrogates how the joint activity of many neurons encodes the past, present, and future, in order to guide behaviour. We combine simulations of neural circuits with “neural data science” – the development and use of machine-learning approaches to systems neuroscience data. We are particularly interested in PhD projects on the following research questions:
“Mapping the wires from neural activity”. How to use the next generation of imaging techniques that directly record neuron voltages to accurately infer the wiring between neurons.
“How to write activity into neurons". What features of neural activity should we change with optogenetics in order to test hypotheses about population activity?
“Dynamic control of the striatum in health and disease”. How the influence of the striatal interneurons is controlled by dopamine, and how that influence goes haywire when dopamine is lost in Parkinson’s disease.
For a primer on our research, and our recent publications, visit our lab website: /https://www.humphries-lab.org/
To discuss these or other projects, please contact Prof Mark Humphries (mark.humphries@nottingham.ac.uk).
Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience
humphries-lab.org
✔️ @ApplyTime
Deadline: October 31st
Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-mark-humphries.aspx
The Humphries’ lab interrogates how the joint activity of many neurons encodes the past, present, and future, in order to guide behaviour. We combine simulations of neural circuits with “neural data science” – the development and use of machine-learning approaches to systems neuroscience data. We are particularly interested in PhD projects on the following research questions:
“Mapping the wires from neural activity”. How to use the next generation of imaging techniques that directly record neuron voltages to accurately infer the wiring between neurons.
“How to write activity into neurons". What features of neural activity should we change with optogenetics in order to test hypotheses about population activity?
“Dynamic control of the striatum in health and disease”. How the influence of the striatal interneurons is controlled by dopamine, and how that influence goes haywire when dopamine is lost in Parkinson’s disease.
For a primer on our research, and our recent publications, visit our lab website: /https://www.humphries-lab.org/
To discuss these or other projects, please contact Prof Mark Humphries (mark.humphries@nottingham.ac.uk).
Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience
humphries-lab.org
✔️ @ApplyTime
www.nottingham.ac.uk
Funded PhD Opportunity: Prof Mark Humphries - The University of Nottingham
A fully funded PhD position in Computational Neuroscience is available with Prof. Mark Humphries.
Apply Time Positions
Fully-funded PhD in computational neuroscience at Nottingham, deadline 31st October Deadline: October 31st Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-mark-humphries.aspx The Humphries’ lab interrogates…
Research Associate Position - Machine Learning and Crowdsourcing applied to Fashion data (UK)
Research Associate in Crowdsourcing and Human Computation
Information School, University of Sheffield
Salary: Grade 7: 31,302 - 39,609 GBP per annum
Contract Type: Fixed term until 31 August 2021
Closing date: 13th November 2018
Further details (and to apply):
https://www.jobs.ac.uk/job/BNJ425/research-associate
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Are you interested in working for a world top 100 University?
The FashionBrain project is funded through the H2020 framework programme of the European Commission. The aim of the project is to acquire a deep understanding of customer needs and to predict next trends of Europe’s fashion industry.
The post-holder will undertake research in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation applied to Fashion data. The goals are to improve the quality of Human Computation applications by developing better quality and less expensive crowdsourcing techniques; to develop novel crowdsourcing quality assurance techniques; to understand dimensions like bias and subjectivity and to deal with it developing priming and training approaches for crowdsourcing.
Applicants should hold a PhD in Computer Science or a related field (or have equivalent experience) and have experience of relevant research approaches and methods in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation
The Information School at the University of Sheffield is recognised nationally and internationally for its world-class research, excellence in teaching, and the achievements of its graduates. It is the leader in its field in the UK, consistently ranked number one in every national Research Assessment Exercise and is a member of the international iSchools organisation, a group of leading cognate schools established to promote the role of the information field in shaping the future of the global information society.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
Follow @sheffielduni and @ShefUniJobs on Twitter for more information about what makes the University of Sheffield a remarkable place to work.
✔️ @ApplyTime
Research Associate in Crowdsourcing and Human Computation
Information School, University of Sheffield
Salary: Grade 7: 31,302 - 39,609 GBP per annum
Contract Type: Fixed term until 31 August 2021
Closing date: 13th November 2018
Further details (and to apply):
https://www.jobs.ac.uk/job/BNJ425/research-associate
----------------------------------------------------------------
Are you interested in working for a world top 100 University?
The FashionBrain project is funded through the H2020 framework programme of the European Commission. The aim of the project is to acquire a deep understanding of customer needs and to predict next trends of Europe’s fashion industry.
The post-holder will undertake research in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation applied to Fashion data. The goals are to improve the quality of Human Computation applications by developing better quality and less expensive crowdsourcing techniques; to develop novel crowdsourcing quality assurance techniques; to understand dimensions like bias and subjectivity and to deal with it developing priming and training approaches for crowdsourcing.
Applicants should hold a PhD in Computer Science or a related field (or have equivalent experience) and have experience of relevant research approaches and methods in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation
The Information School at the University of Sheffield is recognised nationally and internationally for its world-class research, excellence in teaching, and the achievements of its graduates. It is the leader in its field in the UK, consistently ranked number one in every national Research Assessment Exercise and is a member of the international iSchools organisation, a group of leading cognate schools established to promote the role of the information field in shaping the future of the global information society.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
Follow @sheffielduni and @ShefUniJobs on Twitter for more information about what makes the University of Sheffield a remarkable place to work.
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PhD position opening at Hydrology Meteorology and Complexity laboratory (HM&Co), École des ponts ParisTech
✔️ @ApplyTime
✔️ @ApplyTime
available masters and postdoc
Postdoctoral fellowship: Applications are invited for a full-time post-doctoral cognitive neuroscientist to assess time perception and temporal cognition in the wilds, during real-life train transports as compared to in the lab. Applications are invited from enthusiastic, rigorous, and daring researchers with significant experience using time-resolved neuroimaging (EEG or MEG), a solid research record in cognitive neurosciences, psychology and/or related fields.
https://brainthemind.files.wordpress.com/2018/10/wildtimes_postdoc_add.pdf
Internships for masters:
Dans le cadre du projet collaboratif interdisciplinaire WildTimes (ANR) impliquant Virginie van Wassenhove (CEA/NeuroSpin, INSERM, Cognition & Brain Dynamics), Simone Morgagni (SNCF, Innovation & Recherche, Expérience & Cognition) et Valérie Gyselinck (IFSTTAR, Psychologie des comportements et mobilités), nous cherchons des étudiants de master enthousiastes pour mener des expériences de psychologie et neurosciences cognitives .
https://brainthemind.files.wordpress.com/2018/10/wildtimes_masters_add.pdf
Best wishes,
Virginie van Wassenhove
https://brainthemind.com/
✔️ @ApplyTime
Postdoctoral fellowship: Applications are invited for a full-time post-doctoral cognitive neuroscientist to assess time perception and temporal cognition in the wilds, during real-life train transports as compared to in the lab. Applications are invited from enthusiastic, rigorous, and daring researchers with significant experience using time-resolved neuroimaging (EEG or MEG), a solid research record in cognitive neurosciences, psychology and/or related fields.
https://brainthemind.files.wordpress.com/2018/10/wildtimes_postdoc_add.pdf
Internships for masters:
Dans le cadre du projet collaboratif interdisciplinaire WildTimes (ANR) impliquant Virginie van Wassenhove (CEA/NeuroSpin, INSERM, Cognition & Brain Dynamics), Simone Morgagni (SNCF, Innovation & Recherche, Expérience & Cognition) et Valérie Gyselinck (IFSTTAR, Psychologie des comportements et mobilités), nous cherchons des étudiants de master enthousiastes pour mener des expériences de psychologie et neurosciences cognitives .
https://brainthemind.files.wordpress.com/2018/10/wildtimes_masters_add.pdf
Best wishes,
Virginie van Wassenhove
https://brainthemind.com/
✔️ @ApplyTime
Nagoya Institute of Technology (Nitech) is offering a number of fully funded 3-year PhD positions (research assistant) for motivated students from around the globe.
The successful candidates will conduct fundamental research in the following main topics:
Artificial Intelligence (with emphasis on multiagent systems)
Machine Learning (with emphasis on deep reinforcement learning)
Game Theory (with emphasis on stackelberg security games)
Big Data Management and Analysis
Collective Intelligence (with emphasis on smart city applications)
Blockchain and Distributed Ledger Technologies
Internet of Things and Industry 4.0
We are looking for students with experience and interest in any of the topics mentioned above, who have good theoretical and mathematical foundations and who want to help lead the way towards the next generation of AI systems that have the ability to think and learn from humans. The successful candidates will also have the opportunity to collaborate with the world's top researchers in these fields and global industrial partners.
Requirements
Strong analytical skills
Good mathematical skills
Good coding skills
Knowledge of (preferred) or willingness to learn C++, Python and Linux
Background in one or more of the following: Artificial Intelligence,
Multiagent Systems, Machine Learning, Robotics or Game Theory
Strong interest in working on the above-mentioned topics for three years
The ability to work both independently and in small teams
Very good oral and written proficiency in English
Benefits
A custom-tailored curriculum to prepare you for a career in artificial intelligence and machine learning research for universities and companies A creative, diversified, and collaborative working environment in one of the world's most innovative and most livable areas Integration into the NItech AI research center, which offers regular opportunities (courses, workshops, international study trips) for learning more about AI, Machine Learning and closely related topics and linking up with interdisciplinary teams Opportunities for participating in international research conferences and for connecting with scientists and practitioners around the world Additional funding for equipment and travel Competitive compensation English speaking work environment
Work duties
The successful candidate will be employed as a research assistant at Prof. Takayuki Ito Lab. He/She is expected to work on one of the several research projects in the research areas that are mentioned above. At the same time, he/she will be enrolled as a full-time PhD student at the Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology.
Assessment criteria
The assessment of the candidate potential is made primarily on the basis of academic results. Special attention is paid to the following. Knowledge and skills relevant to the above mentioned research topics. An assessment of the ability to work independently and to formulate and tackle research problems. Written and oral communication skills Other experience relevant to the research topics, e.g. professional experience. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the PhD programme.
✔️ @ApplyTime
The successful candidates will conduct fundamental research in the following main topics:
Artificial Intelligence (with emphasis on multiagent systems)
Machine Learning (with emphasis on deep reinforcement learning)
Game Theory (with emphasis on stackelberg security games)
Big Data Management and Analysis
Collective Intelligence (with emphasis on smart city applications)
Blockchain and Distributed Ledger Technologies
Internet of Things and Industry 4.0
We are looking for students with experience and interest in any of the topics mentioned above, who have good theoretical and mathematical foundations and who want to help lead the way towards the next generation of AI systems that have the ability to think and learn from humans. The successful candidates will also have the opportunity to collaborate with the world's top researchers in these fields and global industrial partners.
Requirements
Strong analytical skills
Good mathematical skills
Good coding skills
Knowledge of (preferred) or willingness to learn C++, Python and Linux
Background in one or more of the following: Artificial Intelligence,
Multiagent Systems, Machine Learning, Robotics or Game Theory
Strong interest in working on the above-mentioned topics for three years
The ability to work both independently and in small teams
Very good oral and written proficiency in English
Benefits
A custom-tailored curriculum to prepare you for a career in artificial intelligence and machine learning research for universities and companies A creative, diversified, and collaborative working environment in one of the world's most innovative and most livable areas Integration into the NItech AI research center, which offers regular opportunities (courses, workshops, international study trips) for learning more about AI, Machine Learning and closely related topics and linking up with interdisciplinary teams Opportunities for participating in international research conferences and for connecting with scientists and practitioners around the world Additional funding for equipment and travel Competitive compensation English speaking work environment
Work duties
The successful candidate will be employed as a research assistant at Prof. Takayuki Ito Lab. He/She is expected to work on one of the several research projects in the research areas that are mentioned above. At the same time, he/she will be enrolled as a full-time PhD student at the Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology.
Assessment criteria
The assessment of the candidate potential is made primarily on the basis of academic results. Special attention is paid to the following. Knowledge and skills relevant to the above mentioned research topics. An assessment of the ability to work independently and to formulate and tackle research problems. Written and oral communication skills Other experience relevant to the research topics, e.g. professional experience. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the PhD programme.
✔️ @ApplyTime
PhD positions are available for students interested in interdisciplinary research in the area of visual attention. Students will be able to work with neuroscience faculty at Dartmouth College in Hanover, NH and Montana State University (MSU) in Bozeman, MT on a collaborative project funded by a multi-site (Dartmouth, Brown, Montana State and the University of Nevada at Reno) NSF EPSCoR award to study the neural bases of visual attention. Participating students will receive training at both Dartmouth and MSU and have apple opportunity to travel to other participating universities for additional training and/or scientific collaboration. Successful students will receive a MS in Neuroscience from MSU and a PhD in from Dartmouth.
Applicants should have training in neuroscience, cognitive science, computer science/math or a related field. Prior research experience and computer skills (Python and/or Matlab) are preferred.
For more information about this training opportunities, please contact Peter Tse (Peter.U.Tse@dartmouth.edu) at Dartmouth or Jamie Mazer (james.mazer@montana.edu) at MSU, or stop by our booth at the SFN Graduate Student Fair next week in San Diego at the SFN meeting.
✔️ @ApplyTime
Applicants should have training in neuroscience, cognitive science, computer science/math or a related field. Prior research experience and computer skills (Python and/or Matlab) are preferred.
For more information about this training opportunities, please contact Peter Tse (Peter.U.Tse@dartmouth.edu) at Dartmouth or Jamie Mazer (james.mazer@montana.edu) at MSU, or stop by our booth at the SFN Graduate Student Fair next week in San Diego at the SFN meeting.
✔️ @ApplyTime
ZHAW Zurich University of Applied Sciences is one of the leading universities of Applied Sciences in Switzerland. For our Applied Cognitive Science Division, which is part of the School of Applied Psychology that serves as a center of excellence in its field of teaching and transformational research, we are looking for a
PhD Student (100 %, 3 years)
You will be working in projects (e.g. SNF-founded) on improving human decision-making in areas such as nutrition, energy and politics with, for example, the help of visualizations.
Areas of responsibility will include:
planning, programming (Matlab and / or Unipark) and conducting experiments
literature research
data analysis (SPSS, R)
writing scientific publications (incl. PhD-thesis)
presenting at conferences
administrative duties
We are looking for a person with a university degree in psychology (MSc or comparable degree) and a strong affinity for cognitive science (attention, perception, decision-making, etc.) as well as research methods and statistics. Additionally, a good knowledge of English is requested. We also accept applications from native English-speaking persons or students from abroad. Last, but not least, we are looking for a team-player, who can also work independently and has profound IT user knowledge (strong demand of all office applications).
Do you have any other questions?
For more information, please contact Prof. Dr. Ester Reijnen, Head of Division, Tel. 058 934 83 14. Further information can be found under www.zhaw.ch/psychology.
Are you interested?
If you would like to apply, please use the online platform to send us your portfolio, Attn. Franziska Burg, HR Consultant at Zürich. Please note that we only consider applications via the online platform and therefore do not process applications submitted by post or e-mail.
Apply Now
✔️ @ApplyTime
PhD Student (100 %, 3 years)
You will be working in projects (e.g. SNF-founded) on improving human decision-making in areas such as nutrition, energy and politics with, for example, the help of visualizations.
Areas of responsibility will include:
planning, programming (Matlab and / or Unipark) and conducting experiments
literature research
data analysis (SPSS, R)
writing scientific publications (incl. PhD-thesis)
presenting at conferences
administrative duties
We are looking for a person with a university degree in psychology (MSc or comparable degree) and a strong affinity for cognitive science (attention, perception, decision-making, etc.) as well as research methods and statistics. Additionally, a good knowledge of English is requested. We also accept applications from native English-speaking persons or students from abroad. Last, but not least, we are looking for a team-player, who can also work independently and has profound IT user knowledge (strong demand of all office applications).
Do you have any other questions?
For more information, please contact Prof. Dr. Ester Reijnen, Head of Division, Tel. 058 934 83 14. Further information can be found under www.zhaw.ch/psychology.
Are you interested?
If you would like to apply, please use the online platform to send us your portfolio, Attn. Franziska Burg, HR Consultant at Zürich. Please note that we only consider applications via the online platform and therefore do not process applications submitted by post or e-mail.
Apply Now
✔️ @ApplyTime
ZHAW Applied Psychology
Applied Psychology | ZHAW Applied Psychology
The School of Applied Psychology is the leading centre of expertise for the teaching and practice of scientifically-based applied psychology in Switzerland.
Postdoc positions in STS and related fields at Nanyang Technological University, Singapore
The College of Humanities, Arts, and Social Sciences, Nanyang Technological University invites applications from eligible candidates to join us as Postdoctoral Fellows for the Academic Year 2019.
Applicants are required to propose a reseach project, to be carried out during their term as Postdoctoral Fellows. The research project should be in a topic that is of interest to one or more of the Schools within the College. For more information on the research areas within each School, please visit the Schools' websites listed below:
School of Art, Design, and Media (ADM),
School of Humanities (SoH),
School of Social Sciences (SSS), and
Wee Kim Wee School of Communication and Information (WKWSCI).
More Info
✔️ @ApplyTime
The College of Humanities, Arts, and Social Sciences, Nanyang Technological University invites applications from eligible candidates to join us as Postdoctoral Fellows for the Academic Year 2019.
Applicants are required to propose a reseach project, to be carried out during their term as Postdoctoral Fellows. The research project should be in a topic that is of interest to one or more of the Schools within the College. For more information on the research areas within each School, please visit the Schools' websites listed below:
School of Art, Design, and Media (ADM),
School of Humanities (SoH),
School of Social Sciences (SSS), and
Wee Kim Wee School of Communication and Information (WKWSCI).
More Info
✔️ @ApplyTime
One fMRI MVPA Post-Doc (very competitive salary) 5 year position available under an ERC Starting Grant on the organization of object knowledge
The Proaction Laboratory (Perception and Recognition of Objects and Actions;http://gaius.fpce.uc.pt/pessoais/jorgealmeida/proaction_home.html; Jorge Almeida’s Lab) at the University of Coimbra (www.uc.pt), Portugal is looking for a motivated and bright Post-doctoral researcher to work on an ERC Starting Grant project (ContentMAP) on the neural organization of object knowledge. In this project we will explore how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation.
Excellent understanding of and experience with fMRI and data analysis is required. Strong programming skills (matlab, python, etc.) are also a requirement. Experience with data analysis techniques using MVPA and other multivariate approaches (e.g., Representation Similarity Analysis). Very good English (oral and written) communicative skills are necessary.
The position is for a maximum of 5 years, and will start in February 2019. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring.
The salary is extremely competitive – between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York).
The researcher will work directly with Jorge Almeida in Coimbra, but the laboratory has extensive collaborations with researchers throughout the world. In fact, there may be the option of spending some time in another lab as part of the position. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended.
We have access to a 3T MRI scanner with a 32-channel coil (with EEG inside the scanner), to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.
The deadline for the application is NOVEMBER 20, but you should apply as soon as you can, as we may fill in the positions sooner than the deadline if there are candidates with a superb fit with the requirements and project. The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject “Post-doc position underERC - ContentMAP” with yourcurriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position) to:jorgealmeida@fpce.uc.pt.
✔️ @ApplyTime
The Proaction Laboratory (Perception and Recognition of Objects and Actions;http://gaius.fpce.uc.pt/pessoais/jorgealmeida/proaction_home.html; Jorge Almeida’s Lab) at the University of Coimbra (www.uc.pt), Portugal is looking for a motivated and bright Post-doctoral researcher to work on an ERC Starting Grant project (ContentMAP) on the neural organization of object knowledge. In this project we will explore how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation.
Excellent understanding of and experience with fMRI and data analysis is required. Strong programming skills (matlab, python, etc.) are also a requirement. Experience with data analysis techniques using MVPA and other multivariate approaches (e.g., Representation Similarity Analysis). Very good English (oral and written) communicative skills are necessary.
The position is for a maximum of 5 years, and will start in February 2019. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring.
The salary is extremely competitive – between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York).
The researcher will work directly with Jorge Almeida in Coimbra, but the laboratory has extensive collaborations with researchers throughout the world. In fact, there may be the option of spending some time in another lab as part of the position. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended.
We have access to a 3T MRI scanner with a 32-channel coil (with EEG inside the scanner), to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.
The deadline for the application is NOVEMBER 20, but you should apply as soon as you can, as we may fill in the positions sooner than the deadline if there are candidates with a superb fit with the requirements and project. The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject “Post-doc position underERC - ContentMAP” with yourcurriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position) to:jorgealmeida@fpce.uc.pt.
✔️ @ApplyTime
gaius.fpce.uc.pt
PROACTIONLAB
Jorge Almeida, Cognitive Science, Neuroimaging, University of Coimbra, Harvard University, Proaction lab, Psychology, Vision, Tools, Semantic Memory, Actions
GWIS National Fellowships in natural sciences for Women,
PhD, United States
APPLICATION GUIDELINES
The GWIS National Fellowships Program is proud to offer fellowships in 2019 to help increase knowledge in the natural sciences and to encourage research careers in the sciences by women. Endowment funds, mostly generated from bequests, provide the annual income that supports scientific research done by GWIS award winners. For the 2018-2019 funding cycle, we distributed approximately $50,000 in fellowships funds to five deserving women scientists.
The Fellowships are known as the Sigma Delta Epsilon (SDE), Eloise Gerry, Ethel K. Allen, Vessa Notchev, Jean Langenheim, Monique Braude, Nell I. Mondy, Elizabeth Weisburger, and Hartley Corporation Fellowships. The highest scoring SDE Fellowships designee shall be known as the Adele Lewis Grant/SDE Fellowships winner and the second-highest scoring designee shall be known as the Hartley Corporation/SDE Fellowships Winner. The funds available in any one year shall be the income from and contributions to the endowment accounts. The amount thus varies from year to year. The Fellowships Committee reserves the right to make no awards if no satisfactory applicants present themselves.
REVIEWER FEEDBACK
Applicants can view reviewer feedback on the GWIS Fellowships submissions portal. Simply log in, click on the application, and then click on the arrow on the right side of the "Reviewer Feedback" section. The comments associated with each review can be viewed by clicking on the eyes to the right side of the box.
More Info
✔️ @ApplyTime
PhD, United States
APPLICATION GUIDELINES
The GWIS National Fellowships Program is proud to offer fellowships in 2019 to help increase knowledge in the natural sciences and to encourage research careers in the sciences by women. Endowment funds, mostly generated from bequests, provide the annual income that supports scientific research done by GWIS award winners. For the 2018-2019 funding cycle, we distributed approximately $50,000 in fellowships funds to five deserving women scientists.
The Fellowships are known as the Sigma Delta Epsilon (SDE), Eloise Gerry, Ethel K. Allen, Vessa Notchev, Jean Langenheim, Monique Braude, Nell I. Mondy, Elizabeth Weisburger, and Hartley Corporation Fellowships. The highest scoring SDE Fellowships designee shall be known as the Adele Lewis Grant/SDE Fellowships winner and the second-highest scoring designee shall be known as the Hartley Corporation/SDE Fellowships Winner. The funds available in any one year shall be the income from and contributions to the endowment accounts. The amount thus varies from year to year. The Fellowships Committee reserves the right to make no awards if no satisfactory applicants present themselves.
REVIEWER FEEDBACK
Applicants can view reviewer feedback on the GWIS Fellowships submissions portal. Simply log in, click on the application, and then click on the arrow on the right side of the "Reviewer Feedback" section. The comments associated with each review can be viewed by clicking on the eyes to the right side of the box.
More Info
✔️ @ApplyTime
Postdoc position in Neural Machine Translation (CIS, LMU Munich)
I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU).
This is a postdoc level position and it currently has one year of full-time funding from my ERC Starting Grant.
Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required. The three main focuses of the group are in neural machine translation: 1) domain adaptation 2) adding linguistic information to character NMT 3) unsupervised NMT.
Candidates will have possibilities to teach, supervise bachelors/masters students, and to collaborate on grant applications.
CIS has an active community working on cutting-edge natural language processing. There will be significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.
The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.
Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.
If you are interested in applying please send me:
* a cover letter. Clearly indicate which position you are applying for and include possible starting dates.
* a CV
* a short research plan addressing past, current and future interests
* a brief statement of teaching experience and interest
* the names and addresses of two references
Please submit applications for this position as soon as possible, it is open until filled. This particular position requires a PhD with extensive experience in neural machine translation or a closely related problem involving machine learning, candidates with other backgrounds cannot be considered.
LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.
Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany
Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
✔️ @ApplyTime
I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU).
This is a postdoc level position and it currently has one year of full-time funding from my ERC Starting Grant.
Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required. The three main focuses of the group are in neural machine translation: 1) domain adaptation 2) adding linguistic information to character NMT 3) unsupervised NMT.
Candidates will have possibilities to teach, supervise bachelors/masters students, and to collaborate on grant applications.
CIS has an active community working on cutting-edge natural language processing. There will be significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.
The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.
Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.
If you are interested in applying please send me:
* a cover letter. Clearly indicate which position you are applying for and include possible starting dates.
* a CV
* a short research plan addressing past, current and future interests
* a brief statement of teaching experience and interest
* the names and addresses of two references
Please submit applications for this position as soon as possible, it is open until filled. This particular position requires a PhD with extensive experience in neural machine translation or a closely related problem involving machine learning, candidates with other backgrounds cannot be considered.
LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.
Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany
Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
✔️ @ApplyTime