Application Period: Jan. 26, 2017 - Jan. 28, 2017
Contact: Sheryl Morrissey - email@example.com
Course: COMP 767 - Reinforcement Learning (Advanced Topics)
Location: Downtown Campus
Semester: Winter 2017
Prerequisites: Ph. D in Computer Science
Experience: Expertise in content area of the course. Previous experience as an instructor or teaching assistant at the university-level. Evidence of teaching excellence, e.g. McGill COMP Course Evaluations (as Instructor or Assistant). Ph.D. candidates applying must state qualifications and teaching experience.
Other: Excellent English and communication skills. The lecturer should have extensive research in the field of reinforcement learning, as evidenced by a sustained publication record in highly refereed conferences and workshops affiliated with such conferences. Extensive experience presenting work in front of an audience is necessary.
TO APPLY: Please forward your CV along with the union application form to sheryl @ CS . mcgill . ca