PhD Position – Cooperative Autonomous Systems, University of Alberta, Canada

Mitacs Elevate Postdoctoral Fellowship (in Any Discipline) in Canada

PhD Position – Cooperative Autonomous Systems: The Networked Optimization, Diagnosis & Estimation (NODE) Lab at the University of Alberta’s Department of Mechanical Engineering is inviting applications for a Ph.D. position in Learning-Based Control for Cooperative Autonomous Systems interacting with Humans. The successful candidate will work under the supervision of Dr. Ehsan Hashemi and contribute to a large-scale interdisciplinary research program focusing on explainable AI, safe Reinforcement Learning, and cognitive-based control for autonomous robots. This position offers a unique opportunity to engage in cutting-edge research and collaborate with international partners.


DesignationPhD Position
Research AreaLearning-Based Control for Cooperative Autonomous Systems
LocationUniversity of Alberta, Edmonton, Canada
Eligibility/QualificationMaster of Science (or Engineering) degree in Electrical Engineering, Mechanical Engineering, Computer Science, Mathematics, or Engineering Physics
Job DescriptionSee below
How to ApplyEmail application to with the subject “Application for PhD_NF23”
Last Date for ApplyDecember 01, 2023

Job Description:

PhD Position – Learning-Based Control for Cooperative Autonomous Systems

  • Develop learning-based control and distributed state estimation frameworks for autonomous robots interacting with humans in dynamic environments.
  • Utilize explainable AI, safe Reinforcement Learning, and cognitive-based control for perception, navigation, and robust motion planning.
  • Collaborate with research partners at McGill University, University of Michigan (Ann Arbor), and ETD Royal Institute of Technology (Sweden).
  • Conduct experiments, theoretical/practical analysis, and mentor undergraduate and Master’s students.
  • Contribute to publications in peer-reviewed journals and international conferences.
  • Participate in activities related to Equity, Diversity, and Inclusion both within the lab and at the institutional level.


  • Master of Science (or Engineering) degree in relevant disciplines.
  • Interest and/or experience in SLAM, hybrid systems, learning-based control, and Reinforcement Learning.
  • Programming skills for embedded systems, ROS, and coding in Python/C++.
  • Ability to work independently.
  • Effective written and verbal communication skills (proficiency in English and/or French).

Application Procedure: Interested candidates should submit the following documents in a single PDF file to with the subject “Application for PhD_NF23” by December 01, 2023:

  1. Cover letter detailing related research experience and contributions to the interdisciplinary project.
  2. CV highlighting academic/professional achievements, publications, honors, awards, presentations, research collaborations, contributions to Equity, Diversity, and Inclusion, and a list of three professional references.
  3. Graduate and undergraduate transcripts.
  4. Score sheets for a test of English as a second language (if applicable).
  5. Copies of three relevant publications in control and estimation theory, robotics, mechanical/control systems, or human perception.

Deadline: Applications will be reviewed on an ongoing basis until 01 December 2023. Only shortlisted candidates will be contacted for interviews.


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