POST DOCTORAL FELLOW - Computer Science #00095947

Computer Science

The Postdoc must be well trained in one or more of the following fields: AI; Machine Learning Models and Algorithms, Federated Learning and Graph Learning; High Performance Computing; Dynamic Networks; Edge/Cloud Computing; Cyber-Physical Systems (CPS); Internet of Things (IoT); Drones or Unmanned Aerial Vehicle (UAV). Having experience in applying these models and techniques to real-life applications like Smart Agriculture and Smart Healthcare will be preferred. Strong background in theory and practice (including hands-on experience in testbed development) is required.

The Postdoc will be expected to

• Investigate deep research challenges in one or more of the above topics with applications, in collaboration with Dr. Sajal Das and his research group,
• Publish high-quality papers in top-tier journals and peer-reviewed conferences,
• Develop competitive research grant proposals, and
• Help mentor graduate and undergraduate students' research.

Ph.D. in Engineering

Open Until Filled

This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.

Equal Employment Opportunity

The University of Missouri is an Equal Opportunity Employer.

To request ADA accommodations, please call the Office of Equity & Title IX at 573-341-7734.