MERL is seeking a highly motivated intern to collaborate in the development of learning-based motion control and planning algorithm with safety guarantees. The ideal candidate is a PhD student with strong experience in planning and motion planning, learning methods, and set-based methods. The results of the internship are expected to be published in top-tier conferences and/or journals. The internship will take place during Spring/Summer 2025 (exact dates are flexible) with an expected duration of 3-6 months.
Please use your cover letter to explain how you meet the following requirements, preferably with links to papers, code repositories, etc., indicating your proficiency.
The pay range for this internship position will be 6-8K per month.
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.