Scholarship: Fully funded
Degree: B.S/M.S/Ph.D
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
Dr Jiachen Li, who will join the ECE and CSE departments at the University of California, Riverside (UC Riverside) as an Assistant Professor and establish the Trustworthy Autonomous Systems Laboratory (TASL), is currently a postdoctoral fellow at Stanford University after receiving his Ph.D. from UC Berkeley. Dr Li was named an RSS Robotics Pioneer in 2022 (30 per year worldwide), and has published more than 40 papers in top journals and conferences in the fields of robotics, intelligent mobility, machine learning, and computer vision (e.g, NeurIPS, CVPR, ICCV, RA-L, ICRA, IROS, T-ITS, T-ITS, T-ITS, T-ITS, T-IROS, T-ITS, T-ITS, T-ITS, T-ITS, T-ITS, and TASL). IROS, T-ITS, IV, ITSC, T-IE) and has been awarded 11 patents for his inventions. He is currently an Associate Editor or Reviewer for more than 30 journals and conferences, and has organised numerous symposia (workshops) at top international conferences. During his postdoctoral and PhD years, he supervised more than 10 PhD students, 20 MSc students and undergraduates, and most of the projects resulted in top journal or conference publications, and some of the undergraduates and MSc students he supervised received PhD offers from the world’s top universities (e.g. MIT, CMU, UMich, USC). （In addition, Dr Li interned at Waymo, Toyota Research Institute and Honda Research Institute during his PhD studies. He has extensive experience in academia-industry collaborations and can help students facilitate internships and full-time employment opportunities in industry.
Available Subjects:
- Human-Robot Interaction / Collaboration
- Safe and Interactive Autonomous Driving & Robot Navigation
- Multi-Agent Learning & Planning (e.g. coordination, collaboration)
- Trustworthy AI / ML (e.g. explicability, safety, robustness)
- Deep reinforcement learning & control
- Vision and Language Models for Robotics and Autonomous Systems
- Intelligent Transport Systems & Smart City
Eligibility criteria:
- Applicants should be pursuing or have completed a Bachelor’s degree or higher in Robotics, Computer Science (CS), Electrical Engineering (EE), Mechanical Engineering (ME), Statistics, Mathematics, or other related STEM fields.
- Strong interest in the above research topics and desire to solve challenging research problems.
- Strong analytical and programming skills.
- Good written and oral communication skills in English.
Desired skills - Proficient in code and programming (e.g. Python, C++, MATLAB).
- Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow).
- Experience in robotics programming, especially in Python and C++.
- Knowledge and experience in robotics, autonomous systems, deep learning, machine learning, reinforcement learning, optimisation, control, computer vision or natural language processing.
Application Procedure:
If you are interested, please read the application procedure on the laboratory website (https://tasl.ucr.edu/join-us/) and submit the application form. We hope you will fill in the application form carefully as it will help us to understand your background and research interests. If you have any questions, please email Dr Li directly ([email protected]). There is no need to send a separate email after submitting the application form. Dr Li will read each application carefully and respond as soon as possible.
