Waterloo Intelligent Systems Engineering Laboratory (WISE Lab) in the Electrical and Computer Engineering Department at the University of Waterloo is seeking an outstanding candidate for a Research Associate position, available immediately. The successful candidate will have completed PhD in Computer Science, Computer Engineering, or a related discipline, with specialization in one or more of the following areas: machine learning, control engineering, and robotics. The objective is to develop new methods and approaches to behavioral and trajectory planning for autonomous vehicles based on reinforcement learning and the safety assurance of such systems. The position is funded by ERATO Project "Metamathematics for Systems Design".
The successful candidate will be expected to lead research activities, work both independently and collaboratively, mentor graduate students, publish research results at top international research venues, and be willing and able to move back-and-forth between theory and practice. The WISE Lab and the ERATO project an enriched collaborative environment, including faculty collaborators in computer science, engineering, mechatronics, and systems design, high-tech industry partners, and a vibrant research program in autonomous driving. Based on qualifications a salary range of $70,000 to $90,000 for this full-time position will be considered. Initial appointment will be for one year. Re-appointment thereafter is subject to mutual agreement.
Interested candidates should submit: 1) a cover letter, 2) a current curriculum vitae, and 3) the names of at least three references to Krzysztof Czarnecki (email@example.com), with "Research Associate in Safe Reinforcement Learning" in the subject line. For questions, please feel free to contact Krzysztof Czarnecki (firstname.lastname@example.org).
The application review process will begin immediately and continue until the position is filled.
The University of Waterloo respects, appreciates and encourages diversity. We welcome applications from all qualified individuals including women, members of visible minorities, Aboriginal peoples and persons with disabilities. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.