[Jobs] Postdoc/Scientist in Multi-agent Reinforcement Learning

[Yongcan Cao]

A postdoc or research scientist position is available starting Fall 2024 in multi-agent reinforcement learning, human-guided learning, and explainability. The researcher will work with both faculty and students in the Unmanned Systems Laboratory.

Position description:
Required
- PhD degree in electrical engineering, computer engineering, computer science, or related fields,
- Strong background in machine learning and reinforcement learning,
- Strong track record (i.e., a good publication record),
- Excellent writing and communication skills,
- Strong passion for mathematics, robotics, programming, and creative thinking,
- Proficiency in machine learning and reinforcement learning tools.

Duration and Benefit
The position is fully funded with 1-year initial appointment. The position can be renewed up to 3 years based on the performance evaluation and funding availability. The annual salary is negotiable based on the applicant’s past experience.

How to apply:
Send the following documents in a single PDF file to yongc...@utsa.edu:
1. Letter of motivation (up to 1 page). Please describe your relevant experience, including relevant publications.
2. Detailed CV (no page limit). Please include your Nationality and visa status, past education history, current employment status, scientific publications, programming skills and levels, and any other relevant experience. If you include your homepage or any other links in your CV, make sure they are accessible and up-to-date. Please include copies of your TWO most important publications.
3. A list of at least 3 references. Reference letters will be requested upon positive evaluation of the application materials. Please do not send the letters along with your application.

Applications will be reviewed as they are received.