[visionlist] PhD positions in machine learning and computer vision for enriching heritage collections

The Departments of Literature and Linguistics (Faculty of Arts and Philosophy) of the University of Antwerp and the Montefiore Institute (Faculty of Applied Sciences) of the University of Liège are seeking to fill two full-time (100%) vacancies for Doctoral Grants in the area of machine/deep learning, language technology, and/or computer vision for enriching heritage collections.

The two positions are available within the framework of the INSIGHT (Intelligent Neural Systems as InteGrated Heritage Tools) project, funded by the Belgian Science Policy Office. This project unites academic partners from Liège and Antwerp with stakeholders from the heritage sector (Royal Museums of Fine Arts / Art and History, Brussels). The project focuses on multimodal applications of “deep” representation learning to enrich and improve access to heritage collections and push boundaries in computational art history.

The Platform for Digital Humanities in the University of Antwerp engages with multiple aspects of the application of computing technologies in the Humanities. The CLiPS research center focuses on the application of statistical and machine learning methods in language technology. Scholars in the department of literature focus on the application of X-technologies and Machine Learning in literary studies. The department of Electrical Engineering and Computer Science of the University of Liège has developed a strong expertise in machine learning and its application in various fields such as computer vision. In this latter domain, ULg partners involved in the project have developed the opensource Cytomine platform for advanced image analysis.

Job description
* You prepare a doctoral thesis in the field of machine/deep learning, language technology, and computer vision in the context of heritage studies.
* You publish scientific articles related to the research project of the assignment.
* You contribute to teaching and research in the host departments.

Profile and requirements
* You hold a master degree in a field, broadly relevant to Digital Humanities, Art History, Computer Science, Linguistics, Computer Vision, and/or Machine Learning.
* You can submit outstanding academic results.
* Foreign candidates are encouraged to apply.
* You are quality-oriented, conscientious, creative and cooperative.
* The ideal candidate will have demonstrable, first-hand experience in Machine Learning for computer vision or for Language Technology (in the Digital Humanities), in particular distributional semantics (word embeddings) and representation learning.
* You have an excellent knowledge of academic English. Knowledge of Dutch or French is not required but is an asset for the project.
* The ideal candidate has demonstrable experience in a programming language such as Python, and ideally also deep learning frameworks, such as Tensorflow or PyTorch.
* The ideal candidate will have a broad interest in heritage, the GLAM sector and/or art history.

We offer
* A doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
* The start date of scholarship will be October 1st, November 1st or December 1st 2017 or January 1st 2018;
* A dynamic and stimulating work environment. One PhD student is expected to be mainly located in Antwerp and the other one in Liège, with exchange stays planned between the two Universities. Double doctoral degrees will be envisaged.

Interested?
* Applications should be submitted by email and should include a copy of your CV, a cover letter and, if available, a research paper / MA thesis and a link to the candidate’s portfolio page, with code samples, on a site such a GitHub. The positions remain open until fulfilled.
* For application or questions about the profile and the description of duties, please contact Prof. Mike Kestemont, mike.kestemont(at)uantwerp.be or Prof. Pierre Geurts, p.geurts(at)ulg.ac.be.
PhD positions in machine learning for enriching heritage collections, Universities of Antwerp and Liège (Belgium)


[visionlist] Celebration of Marty Steinbach’s life

On Saturday, September 9, 2017, a Celebration of Dr. Martin Steinbach’s Life will be held at The Carlu (444 Yonge Street, Toronto, Ontario, Canada), 7th
Floor, from 2:00-5:00pm. In lieu of flowers, donations to the Martin J. and Eric Jon Steinbach Vision Science Research Fund for the Donald K. Johnson Eye Institute at the Toronto General & Western Hospital Foundation would be appreciated by the family, please
call 416-340-4430 or visit http://ift.tt/2uPKr6c

Esther G. González, Ph. D.

Dept. of Ophthalmology and Vision Science

University of Toronto
e-mail: esther.gonzalez@utoronto.ca


[visionlist] Apply for Postdoctoral Training in Cancer Prevention at NCI

NCI Cancer Prevention Fellowship Program


[visionlist] Open position: Expert in machine learning and high-performance computing

The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry.

To apply: http://ift.tt/2fKJfdE

For more information about our department: https://bcs.mit.edu/

Job Description:PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence.  Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems.

Job Requirements:  

Bachelor’s degree (advanced degree preferred) in a scientific field or computer science; at least four years’ experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. 

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.


[visionlist] Postdoctoral Associate Position in Cardiovascular Imaging and Data Sciences, at Baylor College of Medicine, TX, USA


Re: [visionlist] Postdoctoral Fellow/Research Associate Position in electrophysiology at the Hong Kong Polytechnic University – School of Optometry


[visionlist] Postdoctoral Fellowship in Human Vision, Toronto, Canada

Postdoctoral Fellowship in Human Vision

York University Centre for Vision Research

Toronto, Canada

A postdoctoral position is available in the Human and Computer Vision Laboratory of James Elder at York University, Toronto, Canada.   The candidate should have a research background in human visual psychophysics and/or computational modeling of the human visual system.  

Specific topics of current interest include:

– Ecological statistics

– Efficient coding

– Perceptual organization

– Shape perception and object recognition

– Single-view 3D scene perception

– Recurrent models of visual computation

– Visual attention

The salary for this position is competitive and the starting date is flexible.  The position is for one year, with the expectation of renewal.  The application deadline is Sept 15, 2017.  International applications are encouraged.

The Elder Laboratory is part of the York Centre for Vision Research (CVR), the York Vision:  Science to Applications (VISTA) Program and the NSERC CREATE Training Program in Data Analytics & Visualization (NSERC CREATE DAV).  

More information about the Elder Laboratory is available at:  elderlab.yorku.ca

Please direct your application to Ms. Kai Lin at kailin@yorku.ca, with subject line Application:  Human Vision Postdoctoral Fellowship.  Your application should include your c.v. and the names of 3 referees.