Announcement of Ph.D. Position in Computer Vision
Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University
The Department of Electrical and Computer Engineering, McGill University, is inviting applications for a fully-funded Ph.D. 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 (cim.mcgill.ca). McGill University is located in the beautiful city of Montreal – an exciting, bilingual, multi-cultural metropolis in the province of Quebec, Canada.
The Ph.D. 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. In this context, algorithms are required to be robust to occlusion, and large variability in lighting, scale, viewpoints, etc. Our group has collected the first, fully-unconstrained video dataset (of faces) with manual annotations, which is now publicly available and used by other groups: ( McGill Faces Database). This project will likely involve extensions to this dataset.
The candidate must have previous experience working on problems in the field of computer vision, with preference given to candidates that have published in top conferences and journals in the field (e.g. CVPR, ECCV, ICCV, PAMI, CVIU). Candidates must have strong mathematical skills, especially in the area of probability and statistics, and have good programming skills (knowledge of C/C++ and OpenCV is preferable, and basic Matlab skills required). Students will be expected to write conference and journal papers, and strong English writing skills will be required. Candidates must have a Master's degree or equivalent for the Ph.D. position, however strong candidates with a Bachelor’s degree will be considered as candidates for a Master’s degree with the expectation that the student be fast-tracked to a Ph.D. after a year of study. Preference will be given to applicants from top ranking schools.
Successful candidates will receive an annual stipend of $19,500 CAD/year. However, qualified students will also be eligible for a McGill Engineering Doctoral Award (MEDA) awards, which will increase their stipend to $24K (domestic) or $32K (international). For more information on the MEDA, please see: MEDAInterested candidates should contact:
Prof. Tal Arbel: email@example.com or
Prof. James J. Clark: firstname.lastname@example.org
Deadline for positions commencing September 1, 2015: January 15, 2015
All applications must be submitted electronically through the Department of Electrical & Engineering, McGill University: Apply
Candidates should specify that they wish to join the Intelligent Systems group and suggest Profs. Arbel and Clark as possible supervisors.