2019 IBM PhD Fellows!
We are pleased to announce the 2019 IBM PhD Fellows!
About the program
Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:
• AI / Cognitive Computing
• Blockchain
• Cloud Computing
• Data Science / Big Data / Analytics
• Internet of things
• Quantum Computing
• Security
Since the creation of the IBM PhD Fellowship Program in 1951, we have supported thousands of PhD students -- with more than 700 students supported over the past 10 years alone.
More Info
✔️ @ApplyTime
We are pleased to announce the 2019 IBM PhD Fellows!
About the program
Strong collaboration with faculty, students and universities is vital to IBM. The IBM PhD Fellowship Program advances this collaboration by recognizing and supporting exceptional PhD students who want to make their mark in promising and disruptive technologies. Focus areas include the following topics of particular interest:
• AI / Cognitive Computing
• Blockchain
• Cloud Computing
• Data Science / Big Data / Analytics
• Internet of things
• Quantum Computing
• Security
Since the creation of the IBM PhD Fellowship Program in 1951, we have supported thousands of PhD students -- with more than 700 students supported over the past 10 years alone.
More Info
✔️ @ApplyTime
Postdoc Opening at Texas A&M University
We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning, a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.
We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the candidate is expected to contribute to the field of machine learning methodology.
Candidates should email the application material directly to shahin@tamu.edu, including a brief research statement, a detailed resume including a publications list, and the names and email addresses of at least three references.
In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
More information:
https://sysml.engr.tamu.edu
https://tamids.tamu.edu/
✔️ @ApplyTime
We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning, a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.
We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the candidate is expected to contribute to the field of machine learning methodology.
Candidates should email the application material directly to shahin@tamu.edu, including a brief research statement, a detailed resume including a publications list, and the names and email addresses of at least three references.
In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.
More information:
https://sysml.engr.tamu.edu
https://tamids.tamu.edu/
✔️ @ApplyTime
Candidates will have opportunities for international collaboration/interaction with other partners of the ANR project INDEX (INcremental Design of EXperiments), see https://sdb3.i3s.unice.fr/anrindex,
The project studies efficient incremental solutions to combinatorial optimization problems occurring in design of computer experiments. The objective is to propose an ordered design (a sequence of runs) which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of intrinsic user-defined constraints.
Applicants must hold a Ph.D. in applied mathematics or theoretical computer science, with a strong background in probability and statistics, approximation and complexity theory, or discrete optimization. Knowledge in functional analysis and measure theory will be particularly appreciated.
If interested contact Luc Pronzato (pronzato (at) i3s (dot) unice (dot) fr), Enrico Formenti (enrico (dot) formenti (at) unice (dot) fr) or Maria João Rendas (rendas (at) i3s (dot) unice (dot) fr).
In the context of the international ANR project INDEX (INcremental Design of EXperiments), I3S
invites applications for full-time post-doc positions, starting between Oct 1, 2019 and Jan. 15, 2020
(negotiable).
Candidates will have opportunities for international collaboration/interaction with other partners of the
INDEX project.
The project studies efficient incremental solutions to combinatorial optimization problems occurring in
design of computer experiments. The objective is to propose an ordered design (a sequence of runs)
which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of
intrinsic user-defined constraints.
For more details, please visit the project web site https://sdb3.i3s.unice.fr/anrindex
Applicants must have a Ph.D. in applied mathematics or theoretical computer science, with a strong
background in probability and statistics, approximation and complexity theory, or discrete optimization.
Knowledge in functional analysis and measure theory will be particularly appreciated.
All applications should include
- a cover letter describing the interest in the position,
- a detailed CV,
- two or more letters of recommendation.
Potential applicants should contact Luc Pronzato (pronzato@i3s.unice.fr), Enrico Formenti
(enrico.formenti@unice.fr) or Maria João Rendas (rendas@i3s.unice.fr).
✔️ @ApplyTime
The project studies efficient incremental solutions to combinatorial optimization problems occurring in design of computer experiments. The objective is to propose an ordered design (a sequence of runs) which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of intrinsic user-defined constraints.
Applicants must hold a Ph.D. in applied mathematics or theoretical computer science, with a strong background in probability and statistics, approximation and complexity theory, or discrete optimization. Knowledge in functional analysis and measure theory will be particularly appreciated.
If interested contact Luc Pronzato (pronzato (at) i3s (dot) unice (dot) fr), Enrico Formenti (enrico (dot) formenti (at) unice (dot) fr) or Maria João Rendas (rendas (at) i3s (dot) unice (dot) fr).
In the context of the international ANR project INDEX (INcremental Design of EXperiments), I3S
invites applications for full-time post-doc positions, starting between Oct 1, 2019 and Jan. 15, 2020
(negotiable).
Candidates will have opportunities for international collaboration/interaction with other partners of the
INDEX project.
The project studies efficient incremental solutions to combinatorial optimization problems occurring in
design of computer experiments. The objective is to propose an ordered design (a sequence of runs)
which is nearly optimal (for the corresponding size) when stopped at any point, while satisfying a set of
intrinsic user-defined constraints.
For more details, please visit the project web site https://sdb3.i3s.unice.fr/anrindex
Applicants must have a Ph.D. in applied mathematics or theoretical computer science, with a strong
background in probability and statistics, approximation and complexity theory, or discrete optimization.
Knowledge in functional analysis and measure theory will be particularly appreciated.
All applications should include
- a cover letter describing the interest in the position,
- a detailed CV,
- two or more letters of recommendation.
Potential applicants should contact Luc Pronzato (pronzato@i3s.unice.fr), Enrico Formenti
(enrico.formenti@unice.fr) or Maria João Rendas (rendas@i3s.unice.fr).
✔️ @ApplyTime
PhD positions at Edinburgh in Biomedical Artificial Intelligence
Are you interested in pursuing a PhD developing AI for the common good? Positions are available at the School of Informatics, University of Edinburgh, as part of the newly awarded UKRI Centre for Doctoral Training in Biomedical AI. This is a fantastic opportunity for 4-years, generously funded interdisciplinary research training at the interface of Informatics, Life Sciences and Social Sciences.
For further information and how to apply, please visit http://web.inf.ed.ac.uk/cdt/biomedical-ai
Best regards,
G
Dr Guido Sanguinetti
Professor of Computational Bioinformatics,
School of Informatics & SynthSys
10 Crichton St
Edinburgh EH8 9AB
tel: +44(0)131 6505136
email: gsanguin@inf.ed.ac.uk
✔️ @ApplyTime
Are you interested in pursuing a PhD developing AI for the common good? Positions are available at the School of Informatics, University of Edinburgh, as part of the newly awarded UKRI Centre for Doctoral Training in Biomedical AI. This is a fantastic opportunity for 4-years, generously funded interdisciplinary research training at the interface of Informatics, Life Sciences and Social Sciences.
For further information and how to apply, please visit http://web.inf.ed.ac.uk/cdt/biomedical-ai
Best regards,
G
Dr Guido Sanguinetti
Professor of Computational Bioinformatics,
School of Informatics & SynthSys
10 Crichton St
Edinburgh EH8 9AB
tel: +44(0)131 6505136
email: gsanguin@inf.ed.ac.uk
✔️ @ApplyTime
The University of Edinburgh
UKRI CDT in Biomedical AI
One or more PhD Stipends in Machine Learning for Wireless Communications (8-19014)
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment at the latest September 1, 2019.
WINDMILL Early Stage Researcher 6: Predictive Machine Learning for multiuser beamforming in massive MIMO
Aalborg University is seeking to hire an Early Stage Researcher (ESR) to join the Marie Skłodowska-Curie Innovative Training Network on “Integrating Wireless Communication ENgineering and MachIne Learning”.(WindMill). More details are included https://windmill-itn.eu/
The project offers an excellent research and training programme:
Opportunity to join a network of leading Universities, research institutes and companies in the field of wireless communications and machine learning.
The ESR is primarily hosted by Aalborg University with stays in partner institutions (secondments).
Training programme including regular summer and winter schools to build technical skills as well as soft skills.
The salary is very competitive The salaries are very competitive and composed by the following allowances: living, mobility and family (the latest only if eligible, see criteria of eligibility in the project’s website).
The ESR will be enrolled in the PhD programme at Aalborg University. The supervision team includes: Prof. Elisabeth de Carvalho, Prof. Petar Popovski and Prof. Cedomir Stefanovic. The objectives of the PhD project are: (1) Develop machine learning approaches to build feature maps of the radio environment using antenna arrays of very large dimension (large intelligent surfaces) or distributed antenna arrays, (2) Develop methodology to extract features to be exploited for different use cases (high data rate, low latency, IoT), (3) Devise low complexity multi-user beamforming techniques for very large arrays based on radio maps and machine learning approaches.
Eligibility Requirements
All candidates must meet the following requirements to be considered for this post:
More Info
✔️ @ApplyTime
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment at the latest September 1, 2019.
WINDMILL Early Stage Researcher 6: Predictive Machine Learning for multiuser beamforming in massive MIMO
Aalborg University is seeking to hire an Early Stage Researcher (ESR) to join the Marie Skłodowska-Curie Innovative Training Network on “Integrating Wireless Communication ENgineering and MachIne Learning”.(WindMill). More details are included https://windmill-itn.eu/
The project offers an excellent research and training programme:
Opportunity to join a network of leading Universities, research institutes and companies in the field of wireless communications and machine learning.
The ESR is primarily hosted by Aalborg University with stays in partner institutions (secondments).
Training programme including regular summer and winter schools to build technical skills as well as soft skills.
The salary is very competitive The salaries are very competitive and composed by the following allowances: living, mobility and family (the latest only if eligible, see criteria of eligibility in the project’s website).
The ESR will be enrolled in the PhD programme at Aalborg University. The supervision team includes: Prof. Elisabeth de Carvalho, Prof. Petar Popovski and Prof. Cedomir Stefanovic. The objectives of the PhD project are: (1) Develop machine learning approaches to build feature maps of the radio environment using antenna arrays of very large dimension (large intelligent surfaces) or distributed antenna arrays, (2) Develop methodology to extract features to be exploited for different use cases (high data rate, low latency, IoT), (3) Devise low complexity multi-user beamforming techniques for very large arrays based on radio maps and machine learning approaches.
Eligibility Requirements
All candidates must meet the following requirements to be considered for this post:
More Info
✔️ @ApplyTime
EURAXESS
One or more PhD Stipends in Machine Learning for Wireless Communications (8-19014)
At the Technical Faculty of IT and Design, Department of Electronic Systems, one ore more PhD stipends in Ultra-reliable Low Latency Connectivity are available within the general study programme Wireless Communications. The stipends are open for appointment…
PhD Position: The changing meaning of retirement - Deadline: 2 June
It has been frequently argued that babyboom cohorts have different needs and ambitions for retirement than earlier generations, and that they will even ‘redefine’ or ‘reinvent’ retirement. This PhD project will examine older adults’ pre-retirement preferences with respect to their future life, as well as their post retirement activities. The project will make use of the NIDI Pension Panel Survey (NPPS) in which more than 5.000, 60-plus older workers are followed in their transition to retirement.
This PhD project is part of the project “Ageing workers in an ageing society: Labour force transitions and work in late life” and is funded Netspar and NWO. The PhD project is based at NIDI in The Hague. The PhD candidate will write a dissertation, based on a set of research articles, publishable in international refereed journals.
Main tasks:
Writing academic articles.
Data analysis of the NIDI-Pension Panel Survey (NPPS).
Contribution to the dissemination of research findings.
Requirements
Completed a Research Master in one of the social sciences, or a comparable background.
Solid knowledge of statistical methods for the analysis large-scale survey data.
Knowledge of labour market, gerontology, organizational science literatures.
Excellent knowledge of English.
Good writing and social skills.
Conditions of employment
The initial appointment will be for a period of one year. After a positive evaluation, the appointment will be extended for another two and a half years. A psychological assessment may be part of the selection procedure. The gross monthly salary will be between € 2,325,- (year 1) and € 2,972,- (year 4). Benefits include pension contribution, annual holiday premium of 8% and an end-of-year premium of 8.3%. Non-Dutch nationals may be eligible for a substantial tax break (30% ruling). Applicants should have the right to work in the Netherlands for the duration of the contract.
Employer
The Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW) is an Academy research institute. NIDI conducts research on population issues and informs policymakers and society about the results of demographic research. By concentrating researchers from different disciplines in a single institute, NIDI has become one of the most important demographic research centres in Europe.
Additional information
For additional information you may contact prof. dr. Kène Henkens (email: henkens@nidi.nl or phone: +31 703565235) or dr. ir. Hanna van Solinge (email: solinge@nidi.nl or phone: + 31 703565244).
We will not respond to any supplier enquiries based on this job advertisement.
✔️ @ApplyTime
It has been frequently argued that babyboom cohorts have different needs and ambitions for retirement than earlier generations, and that they will even ‘redefine’ or ‘reinvent’ retirement. This PhD project will examine older adults’ pre-retirement preferences with respect to their future life, as well as their post retirement activities. The project will make use of the NIDI Pension Panel Survey (NPPS) in which more than 5.000, 60-plus older workers are followed in their transition to retirement.
This PhD project is part of the project “Ageing workers in an ageing society: Labour force transitions and work in late life” and is funded Netspar and NWO. The PhD project is based at NIDI in The Hague. The PhD candidate will write a dissertation, based on a set of research articles, publishable in international refereed journals.
Main tasks:
Writing academic articles.
Data analysis of the NIDI-Pension Panel Survey (NPPS).
Contribution to the dissemination of research findings.
Requirements
Completed a Research Master in one of the social sciences, or a comparable background.
Solid knowledge of statistical methods for the analysis large-scale survey data.
Knowledge of labour market, gerontology, organizational science literatures.
Excellent knowledge of English.
Good writing and social skills.
Conditions of employment
The initial appointment will be for a period of one year. After a positive evaluation, the appointment will be extended for another two and a half years. A psychological assessment may be part of the selection procedure. The gross monthly salary will be between € 2,325,- (year 1) and € 2,972,- (year 4). Benefits include pension contribution, annual holiday premium of 8% and an end-of-year premium of 8.3%. Non-Dutch nationals may be eligible for a substantial tax break (30% ruling). Applicants should have the right to work in the Netherlands for the duration of the contract.
Employer
The Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW) is an Academy research institute. NIDI conducts research on population issues and informs policymakers and society about the results of demographic research. By concentrating researchers from different disciplines in a single institute, NIDI has become one of the most important demographic research centres in Europe.
Additional information
For additional information you may contact prof. dr. Kène Henkens (email: henkens@nidi.nl or phone: +31 703565235) or dr. ir. Hanna van Solinge (email: solinge@nidi.nl or phone: + 31 703565244).
We will not respond to any supplier enquiries based on this job advertisement.
✔️ @ApplyTime
PhD positions in Leuven
Multiple funded PhD positions are available in the Center for Processing Speech and Images at KU Leuven under the supervision of Prof. Matthew Blaschko. The positions are on the topic of deep neural networks, Bayesian optimization, computer vision, and medical image analysis. The Center for Processing Speech and Images is a highly active research group that regularly publishes in the top conferences in machine learning (ICML, NeurIPS) and computer vision (CVPR, ICCV, ECCV). The working language of the group is English.
Leuven is a historic university city in Belgium 25 minutes from Brussels, boasting a beautiful and safe environment, excellent quality of life, and a lively intellectual atmosphere. KU Leuven is consistently the top ranked university in Belgium and one of the top universities in Europe and the world.
The successful candidate will have excellent grades, a passion for science and research, and very good communication and technical skills. A masters degree in computer science, applied mathematics, electrical engineering, or a related field is required. Interested candidates should send (i) a CV, (ii) motivation letter, and (iii) if applicable a copy of a published paper or masters thesis to matthew.blaschko@esat.kuleuven.be with "PhD Application" in the subject line.
Additional information can be found at
http://www.esat.kuleuven.be/psi/
http://homes.esat.kuleuven.be/~mblaschk/
✔️ @ApplyTime
Multiple funded PhD positions are available in the Center for Processing Speech and Images at KU Leuven under the supervision of Prof. Matthew Blaschko. The positions are on the topic of deep neural networks, Bayesian optimization, computer vision, and medical image analysis. The Center for Processing Speech and Images is a highly active research group that regularly publishes in the top conferences in machine learning (ICML, NeurIPS) and computer vision (CVPR, ICCV, ECCV). The working language of the group is English.
Leuven is a historic university city in Belgium 25 minutes from Brussels, boasting a beautiful and safe environment, excellent quality of life, and a lively intellectual atmosphere. KU Leuven is consistently the top ranked university in Belgium and one of the top universities in Europe and the world.
The successful candidate will have excellent grades, a passion for science and research, and very good communication and technical skills. A masters degree in computer science, applied mathematics, electrical engineering, or a related field is required. Interested candidates should send (i) a CV, (ii) motivation letter, and (iii) if applicable a copy of a published paper or masters thesis to matthew.blaschko@esat.kuleuven.be with "PhD Application" in the subject line.
Additional information can be found at
http://www.esat.kuleuven.be/psi/
http://homes.esat.kuleuven.be/~mblaschk/
✔️ @ApplyTime
Departement Elektrotechniek (ESAT)
Processing Speech and Images
Research Director in Medical Imaging - France, Strasbourg
Hi everyone,
For my client, a company who design guided surgery tools for orthopaedics surgeons, I am hiring a Research Director in medical imaging, Machine learning skills are really welcome (Full job description below). Strasbourg, France. You'll be directly employed by them for a full-time contract.
Don't delay, just send me your resume at tania.ocana@sciencemeup.com. I'll give you a fast answer, you can also contact me with any questions!
Science me up is a recruitment agency that focuses its activities on the recruitment of scientists and qualified technical profiles.
Research Director in Computer Science Image Processing, Strasbourg, France
Our client is seeking a Research Director to lead a team of seven researchers who are working on research and development activities for new surgical medical image analysis technology. This position is a unique opportunity to work in a small team of dedicated engineers, scientists, and medical doctors to help design and build intraoperative computer vision tools for orthopedics.
The ideal candidate will have experience managing a team and have a strong background in Medical Image Processing. You’ll work in a dynamic and flexible R&D environment in Strasbourg, France.
Primary Job Duties & Responsibilities
Research and prototype image processing applications to solve problems in orthopedic surgeries
Manage and monitor the activities of a multidisciplinary team to integrate solutions into existing products
Serve as a team resource for decision making and guidance.
Proactively lead problem-solving efforts; provide suggestions and take action on areas needing improvement.
Provide mentoring and coaching to create a good environment; maintain a positive attitude in challenging situations.
Develop and maintain partnerships with local, national and international institutions and universities.
May require travel to conferences to research new technologies and research
Minimum Qualifications
Ph.D. in Computer Science, Computer Engineering, or related field, with a focus on medical image processing.
At least 5 years of experience as a researcher in academia
Good academic network
Familiarity with fluoroscopic, x-ray, CT and MRI imaging modalities
Working knowledge of image registration techniques and mathematics
Working knowledge of image segmentation techniques and mathematics
C++ development experience
A demonstrated ability to meaningfully contribute to software development projects
Excellent communication (written and oral) and interpersonal skills – proficiency in English
Preferred Qualifications
Expertise in machine learning as applied to medical images
Experience with mathematics and application of statistical shape modeling
2D-3D registration experience / knowledge
Working knowledge of software verification and validation, including continuous integration methodologies and tools
Agile project methodologies
Experience with applied image processing and/or computer vision
Experience with any of the following toolkits: VTK, ITK, OpenCV, CMake, Qt
Medical device software development experience
Others job position for Scientist (Researcher in Computer vision - machine learning; Researcher in Augmented Reality or Virtual Reality)
at https://sciencemeup.com/en/
✔️ @ApplyTime
Hi everyone,
For my client, a company who design guided surgery tools for orthopaedics surgeons, I am hiring a Research Director in medical imaging, Machine learning skills are really welcome (Full job description below). Strasbourg, France. You'll be directly employed by them for a full-time contract.
Don't delay, just send me your resume at tania.ocana@sciencemeup.com. I'll give you a fast answer, you can also contact me with any questions!
Science me up is a recruitment agency that focuses its activities on the recruitment of scientists and qualified technical profiles.
Research Director in Computer Science Image Processing, Strasbourg, France
Our client is seeking a Research Director to lead a team of seven researchers who are working on research and development activities for new surgical medical image analysis technology. This position is a unique opportunity to work in a small team of dedicated engineers, scientists, and medical doctors to help design and build intraoperative computer vision tools for orthopedics.
The ideal candidate will have experience managing a team and have a strong background in Medical Image Processing. You’ll work in a dynamic and flexible R&D environment in Strasbourg, France.
Primary Job Duties & Responsibilities
Research and prototype image processing applications to solve problems in orthopedic surgeries
Manage and monitor the activities of a multidisciplinary team to integrate solutions into existing products
Serve as a team resource for decision making and guidance.
Proactively lead problem-solving efforts; provide suggestions and take action on areas needing improvement.
Provide mentoring and coaching to create a good environment; maintain a positive attitude in challenging situations.
Develop and maintain partnerships with local, national and international institutions and universities.
May require travel to conferences to research new technologies and research
Minimum Qualifications
Ph.D. in Computer Science, Computer Engineering, or related field, with a focus on medical image processing.
At least 5 years of experience as a researcher in academia
Good academic network
Familiarity with fluoroscopic, x-ray, CT and MRI imaging modalities
Working knowledge of image registration techniques and mathematics
Working knowledge of image segmentation techniques and mathematics
C++ development experience
A demonstrated ability to meaningfully contribute to software development projects
Excellent communication (written and oral) and interpersonal skills – proficiency in English
Preferred Qualifications
Expertise in machine learning as applied to medical images
Experience with mathematics and application of statistical shape modeling
2D-3D registration experience / knowledge
Working knowledge of software verification and validation, including continuous integration methodologies and tools
Agile project methodologies
Experience with applied image processing and/or computer vision
Experience with any of the following toolkits: VTK, ITK, OpenCV, CMake, Qt
Medical device software development experience
Others job position for Scientist (Researcher in Computer vision - machine learning; Researcher in Augmented Reality or Virtual Reality)
at https://sciencemeup.com/en/
✔️ @ApplyTime
Science Me Up
Science Me Up ~ Embarquez avec nous!
Science me Up accompagne les acteurs de l'innovation via trois pôles d'activités: le recrutement scientifique, la formation et l'événementiel scientifique.
Post-doc and MRes positions in Computer Vision
A gentle reminder about the approaching deadlines for the below two positions.
A post-doc position is available to work on an exciting, cross-disciplinary collaborative project (UK-India research collaboration) to develop advanced computer vision and deep learning algorithms for monitoring and anticipating driver’s activities (Deadline: 02/06/2019). The detailed application procedure can be found here: https://jobs.edgehill.ac.uk/Vacancy.aspx?ref=EHR0080-0419
There are also two MRes studentships to carry out research in computer vision and deep learning, focusing on human activity recognition and monitoring. The studentships involve a stipend of £15,073 pa and MRes fees waiver for 1 year (Deadline: Wednesday 05 June 2019 at 16:00 BST). The details can be found here https://www.edgehill.ac.uk/graduateschool/mres-studentships-computer-science-charm-context-aware-human-activity-recognition-and-monitoring-for-intelligent-vehicles/
Informal enquiries may be addressed to beheraa@edgehill.ac.uk (Ardhendu Behera)
Many thanks and kind regards,
Ardhendu
--------------------------
Dr Ardhendu Behera
Senior Lecturer, Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/computerscience/
https://computing.edgehill.ac.uk/~abehera/
T: +44 (0) 1695 65 7270
✔️ @ApplyTime
A gentle reminder about the approaching deadlines for the below two positions.
A post-doc position is available to work on an exciting, cross-disciplinary collaborative project (UK-India research collaboration) to develop advanced computer vision and deep learning algorithms for monitoring and anticipating driver’s activities (Deadline: 02/06/2019). The detailed application procedure can be found here: https://jobs.edgehill.ac.uk/Vacancy.aspx?ref=EHR0080-0419
There are also two MRes studentships to carry out research in computer vision and deep learning, focusing on human activity recognition and monitoring. The studentships involve a stipend of £15,073 pa and MRes fees waiver for 1 year (Deadline: Wednesday 05 June 2019 at 16:00 BST). The details can be found here https://www.edgehill.ac.uk/graduateschool/mres-studentships-computer-science-charm-context-aware-human-activity-recognition-and-monitoring-for-intelligent-vehicles/
Informal enquiries may be addressed to beheraa@edgehill.ac.uk (Ardhendu Behera)
Many thanks and kind regards,
Ardhendu
--------------------------
Dr Ardhendu Behera
Senior Lecturer, Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/computerscience/
https://computing.edgehill.ac.uk/~abehera/
T: +44 (0) 1695 65 7270
✔️ @ApplyTime
Jobs at Edge Hill University
Job Vacancy at Edge Hill University: IT Service Desk Analyst - Internal Only
We’re here to create and harness knowledge, to deliver opportunity for everyone.About the RoleThis is an exciting opportunity for an IT Service Desk Analyst to join the department of Technology within Digital, Data and Technology. The main...
Tenure-Track Position in Department of Human Development, California State University Long Beach
Greetings!
The Department of Human Development at California State University Long Beach is pleased to announce a Tenure-Track Position Opening: Assistant Professor of Human Development, Black, African American, or African diaspora populations. CSULB is a vibrant, comprehensive, urban university with an enrollment of nearly 38,000 students, and is a flagship of the 23-member California State University (CSU) system. Review of applications begins September 6, 2019.
The ad is available here: https://academicjobsonline.org/ajo/jobs/13701
Please forward to all individuals who you believe would be interested.
Best regards,
Lauren
________________________________
Lauren Heidbrink, MA/MS, Ph.D.
Assistant Professor, Human Development
562.985.5290
lauren.heidbrink@csulb.edu
✔️ @ApplyTime
Greetings!
The Department of Human Development at California State University Long Beach is pleased to announce a Tenure-Track Position Opening: Assistant Professor of Human Development, Black, African American, or African diaspora populations. CSULB is a vibrant, comprehensive, urban university with an enrollment of nearly 38,000 students, and is a flagship of the 23-member California State University (CSU) system. Review of applications begins September 6, 2019.
The ad is available here: https://academicjobsonline.org/ajo/jobs/13701
Please forward to all individuals who you believe would be interested.
Best regards,
Lauren
________________________________
Lauren Heidbrink, MA/MS, Ph.D.
Assistant Professor, Human Development
562.985.5290
lauren.heidbrink@csulb.edu
✔️ @ApplyTime
academicjobsonline.org
Human Development / College of Liberal Arts, California State University, Long Beach
Full service online faculty recruitment site for academic institutions worldwide. We offer unique solutions tailored for academic communities.
PhD opportunity – Robotics in off-site prefabrication of buildings
Job No.: 593427
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: Annual tax-free stipend of $29,000
Applications are invited for a 3-year PhD within the Department of Civil Engineering at Monash University.
The PhD Project
Prefabrication has the advantages of simplicity, speed and economy but has been inflexible to changes in design which is a primary reason behind its limited market share in the construction industry. To tackle this drawback, there is need for research to develop a Robotic Prefabrication System (RPS) which employs a new concept towards automatic construction of a prefabricated structure. The RPS will consist of a software module and a hardware module. First, the software employs the 3D model of a prefabricated structure as input, and returns motor control command output to the hardware. There are numerous underlying algorithms developed in the software module. For example, a novel algorithm will computes the optimal fabrication sequence to transform one model into another according to the differences identified. Meanwhile, the hardware module takes the motor control commands as input and executes the appropriate assembly/disassembly operations, and returns the desired structure in real-time.
Validation tests on lab-scaled prefabricated structures will demonstrate the ability of the system to successfully generate desired fabrication sequences and perform all assembly operations with acceptable placement precision.
This PhD will leverage the latest technologies, data science and AI in the development of new building processes and techniques. This will enable the application of robotics to optimise all phases of building delivery.
The Opportunity
Scholarship covering tuition fees and providing a tax-free stipend (approximately $29,000/year) for 3 years is potentially available for either local or international students. There is potential for successful applicants to earn around $3,000 per annum through assisting in undergraduate teaching. Students are given financial support to attend an international conference during their
PhD.
Selection Criteria
The student will need to meet the following criteria:
Masters or Bachelor (H1 Honours) in Engineering (majoring in Civil, Mechanical, Electronics, or Aerospace Engineering, etc.);
An excellent academic record (GPA>90%);
Excellent English – Academic IELTS: minimum overall band score of 6.5 with no skill
less than 6.0; and
Proficiency in the Robot Operating System (ROS)
Application Process
Applicants will be required to apply for a scholarship through Monash University. Applicants should express their interest by writing to Dr Mehrdad Arashpour (mehrdad.arashpour@monash.edu) with the following documents:
1. Academic transcripts
2. Publication list
3. Up-to-date CV
4. English proficiency evidence (Academic IELTS)
5. Names and contact details of three academic referees.
Enquiries
Dr. Mehrdad Arashpour, Department of Civil Engineering, mehrdad.arashpour@monash.edu
Closing Date
Saturday 31 August 2019, 11:55 pm AEST
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Job No.: 593427
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: Annual tax-free stipend of $29,000
Applications are invited for a 3-year PhD within the Department of Civil Engineering at Monash University.
The PhD Project
Prefabrication has the advantages of simplicity, speed and economy but has been inflexible to changes in design which is a primary reason behind its limited market share in the construction industry. To tackle this drawback, there is need for research to develop a Robotic Prefabrication System (RPS) which employs a new concept towards automatic construction of a prefabricated structure. The RPS will consist of a software module and a hardware module. First, the software employs the 3D model of a prefabricated structure as input, and returns motor control command output to the hardware. There are numerous underlying algorithms developed in the software module. For example, a novel algorithm will computes the optimal fabrication sequence to transform one model into another according to the differences identified. Meanwhile, the hardware module takes the motor control commands as input and executes the appropriate assembly/disassembly operations, and returns the desired structure in real-time.
Validation tests on lab-scaled prefabricated structures will demonstrate the ability of the system to successfully generate desired fabrication sequences and perform all assembly operations with acceptable placement precision.
This PhD will leverage the latest technologies, data science and AI in the development of new building processes and techniques. This will enable the application of robotics to optimise all phases of building delivery.
The Opportunity
Scholarship covering tuition fees and providing a tax-free stipend (approximately $29,000/year) for 3 years is potentially available for either local or international students. There is potential for successful applicants to earn around $3,000 per annum through assisting in undergraduate teaching. Students are given financial support to attend an international conference during their
PhD.
Selection Criteria
The student will need to meet the following criteria:
Masters or Bachelor (H1 Honours) in Engineering (majoring in Civil, Mechanical, Electronics, or Aerospace Engineering, etc.);
An excellent academic record (GPA>90%);
Excellent English – Academic IELTS: minimum overall band score of 6.5 with no skill
less than 6.0; and
Proficiency in the Robot Operating System (ROS)
Application Process
Applicants will be required to apply for a scholarship through Monash University. Applicants should express their interest by writing to Dr Mehrdad Arashpour (mehrdad.arashpour@monash.edu) with the following documents:
1. Academic transcripts
2. Publication list
3. Up-to-date CV
4. English proficiency evidence (Academic IELTS)
5. Names and contact details of three academic referees.
Enquiries
Dr. Mehrdad Arashpour, Department of Civil Engineering, mehrdad.arashpour@monash.edu
Closing Date
Saturday 31 August 2019, 11:55 pm AEST
✔️ @ApplyTime
PhD scholarship in discovery and development of new diagnostic PET tracers for brain cancer
Centre for Innovation in Biomedical Imaging Technology (CIBIT)
The Centre for Advanced Imaging (CAI), a strategic initiative of The University of Queensland, is a leading imaging research facility in Australia, and one of a handful in the world. It brings together the skills of a critical mass of researchers and state-of-the-art, world- or Australian-first imaging research instruments including NMR, EPR, MRI, PET, CT, optical imaging and an on-site cyclotron and radiochemistry facilities. CAI hosts the largest Node of the National Imaging Facility (NIF) (http://anif.org.au/ ).
CAI conducts research across the spectrum from development of new imaging technologies, analysis of molecular structure, synthesis of MRI and PET biomarkers targeting fundamental biological processes to studies of major diseases affecting a range of organ systems, through to imaging economically significant agricultural animals and plant material, minerals and construction materials.
More Info
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Centre for Innovation in Biomedical Imaging Technology (CIBIT)
The Centre for Advanced Imaging (CAI), a strategic initiative of The University of Queensland, is a leading imaging research facility in Australia, and one of a handful in the world. It brings together the skills of a critical mass of researchers and state-of-the-art, world- or Australian-first imaging research instruments including NMR, EPR, MRI, PET, CT, optical imaging and an on-site cyclotron and radiochemistry facilities. CAI hosts the largest Node of the National Imaging Facility (NIF) (http://anif.org.au/ ).
CAI conducts research across the spectrum from development of new imaging technologies, analysis of molecular structure, synthesis of MRI and PET biomarkers targeting fundamental biological processes to studies of major diseases affecting a range of organ systems, through to imaging economically significant agricultural animals and plant material, minerals and construction materials.
More Info
✔️ @ApplyTime
Research Fellow in Theoretical Astrophysics
Job No.: 592279
Location: Clayton campus
Employment Type: Full-time
Duration: 2.5 year fixed-term appointment
Remuneration:$68,040 - $92,343 pa Level A / $97,203 - $115,429 pa Level B (plus 17% employer superannuation)
Be inspired, every day
Drive your own learning at one of the world’s top 80 universities
Take your career in exciting, rewarding directions
Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.
The Opportunity
We have an exciting opportunity for a Research Fellow to join our team. As the successful candidate, you will have the opportunity to work with an ARC Future Fellow and international collaborators on 3D Hydrodynamics simulations of convective-reactive events in stars. You will join the world-class Stellar group in the Monash Centre for Astrophysics and will publish papers in high-impact journals, present results at major conferences and meetings, and assist with supervision of PhD students.
Our ideal candidate will have a PhD in theoretical astrophysics and experience in using, and developing, scientific codes. You will have demonstrated proposal preparation skills, experience in supervising and working with honours or postgraduate students within the discipline, and excellent organisational skills.
This role is a full-time position; however, flexible working arrangements may be negotiated.
At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.
Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".
Enquiries
Dr. Simon Campbell, Senior Research Fellow and ARC Future Fellow, School of Physics and Astronomy, +61 3 9905 8671
Position Description
Download File Research Fellow in Theoretical Astrophysics Level A
Download File Research Fellow in Theoretical Astrophysics Level B
Closing Date
Friday 5 July 2019 11:55 pm AEST
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Job No.: 592279
Location: Clayton campus
Employment Type: Full-time
Duration: 2.5 year fixed-term appointment
Remuneration:$68,040 - $92,343 pa Level A / $97,203 - $115,429 pa Level B (plus 17% employer superannuation)
Be inspired, every day
Drive your own learning at one of the world’s top 80 universities
Take your career in exciting, rewarding directions
Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.
The Opportunity
We have an exciting opportunity for a Research Fellow to join our team. As the successful candidate, you will have the opportunity to work with an ARC Future Fellow and international collaborators on 3D Hydrodynamics simulations of convective-reactive events in stars. You will join the world-class Stellar group in the Monash Centre for Astrophysics and will publish papers in high-impact journals, present results at major conferences and meetings, and assist with supervision of PhD students.
Our ideal candidate will have a PhD in theoretical astrophysics and experience in using, and developing, scientific codes. You will have demonstrated proposal preparation skills, experience in supervising and working with honours or postgraduate students within the discipline, and excellent organisational skills.
This role is a full-time position; however, flexible working arrangements may be negotiated.
At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.
Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".
Enquiries
Dr. Simon Campbell, Senior Research Fellow and ARC Future Fellow, School of Physics and Astronomy, +61 3 9905 8671
Position Description
Download File Research Fellow in Theoretical Astrophysics Level A
Download File Research Fellow in Theoretical Astrophysics Level B
Closing Date
Friday 5 July 2019 11:55 pm AEST
✔️ @ApplyTime
PhD student position in nanomedicine
Information about the research
A four-year PhD position in nanomedical research is available in a new junior group embedded in the Division of Chemical Biology and the Excellence Initiative Nano at Chalmers.
Disease-triggered drug-delivery vehicles can be composed of responsive polymeric materials that undergo programmed changes in their physicochemical properties (e.g. chain cleavage or solubility switch) upon exposure to the biochemistry of inflammation. To improve drug-delivery for these conditions, our group explores avenues such as reduced dosage, locally triggered on-time delivery, and functionality, or include diagnostics to monitor therapeutic response. We use established anti-inflammatory drugs and novel bioactive lipids for our purposes, and monitor drug effects in in vitro/ex vivo systems including tools such as lipidomics.
More Info
✔️ @ApplyTime
Information about the research
A four-year PhD position in nanomedical research is available in a new junior group embedded in the Division of Chemical Biology and the Excellence Initiative Nano at Chalmers.
Disease-triggered drug-delivery vehicles can be composed of responsive polymeric materials that undergo programmed changes in their physicochemical properties (e.g. chain cleavage or solubility switch) upon exposure to the biochemistry of inflammation. To improve drug-delivery for these conditions, our group explores avenues such as reduced dosage, locally triggered on-time delivery, and functionality, or include diagnostics to monitor therapeutic response. We use established anti-inflammatory drugs and novel bioactive lipids for our purposes, and monitor drug effects in in vitro/ex vivo systems including tools such as lipidomics.
More Info
✔️ @ApplyTime
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
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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