PhD and Postdoctoral Fellow Positions in Medical Image Analysis. The Department of Electrical and Computer Engineering, McGill University, is inviting applications for a fully-funded PhD position, and a Postdoctoral Fellow position in the field of Medical Image Analysis. The successful candidates will work in the Medical Imaging Lab, under the supervision of Prof. Tal Arbel, and join the Probabilistic Vision Group – a vibrant research group that works on probabilistic methods in the context of both the fields of computer vision and medical image analysis. This lab is part of the Centre for Intelligent Machines, a world-renowned, interdisciplinary research centre focusing on intelligence systems (www.cim.mcgill.ca). The research projects focus on the development of new probabilistic graphical models for the automatic detection and segmentation of subtle and complex lesions/tumours for a variety of important neurological diseases, such as Multiple Sclerosis (MS) and brain tumours. Please see Announcement of PhD Postdoc in Medical Inage Analysis for details.
PhD Position in Computer Vision. The Department of Electrical and Computer Engineering, McGill University, is inviting applications for a fully-funded PhD studentship in the field of Computer Vision. The successful candidate will be working in the Probabilistic Vision Group and the Visual Motor Research Labs, under the joint supervision of Profs. Tal Arbel and James J. Clark, and will join the Centre for Intelligent Machines, a world-renowned, interdisciplinary research centre focusing on intelligence systems (www.cim.mcgill.ca). The PhD will focus on developing new, probabilistic models for the classification of facial and body traits (e.g. pose, gender), and object classes (e.g. motorcycles) from real-world, unconstrained images and video sequences. Please see Announcement of PhD Position in Computer Vision for details.
Post Doctoral, PhD and MEng positions are currently available in the area of electric energy systems and electric motor drives, and specifically in microgrid control and operation, the integration of distributed energy resources into distribution systems, intelligent distribution grids and electric vehicle motor drive optimization. Students interested in these areas of study should contact: Professor Geza Joos at this e-mail.
A new NSERC CREATE (Collaborative Research and Training Experience) Program in Medical Image Analysis (CREATE-MIA) has launched at McGill. In addition to the opportunity of studying with one of seven world-class academicians from McGill, ÉTS, or the Université de Sherbrooke, CREATE-MIA adds professional skills training and provides real-world experience in finding solutions to problems challenging the medical imaging industry today through industrial internships. Trainees (undergraduate, graduate and post-doctoral fellows) completing the program will be well-prepared to embark on their careers, in industry or academia. Interested potential ECE students should look at the work being done by Professor Tal Arbel in the Intelligent Systems Group and then go to http://www.cim.mcgill.ca/create-mia to find out more about what is involved in CREATE-MIA, what funding is possible, and how to apply.
Research positions at the Research associate and Post-doctoral fellow levels in Wireless Telecommunication are available for suitable candidates. Some of these positions could be also filled with well qualified Ph.D. students. While all applicants in this field will be considered, the project topic is in the area of Cooperative Spectrum Sensing for Cognitive Wireless Communication, and the requirements for the available positions include documented experience in any three of the following subjects: detection and estimation, spectrum sensing, data fusion in wireless sensor networks, modern channel coding techniques, statistical inference using graphical models, cooperative communication, and non-coherent digital communication.
If you are interested please apply by sending an email to Harry Leib describing you background, and attaching a CV as well as three publications that demonstrate the applicant experience relevant to the project. After initial screening, other documents may be required.