PhD & Postdoctoral Positions: The COOL Lab (Control, Optimization, and Online Learning for Autonomy) at the Department of Aerospace Engineering, The University of Texas at Austin, is inviting applications for multiple PhD positions and one Postdoctoral position starting Spring/Fall 2026. Led by Professor Thinh T. Doan, the lab focuses on pioneering research in learning, control, and optimization for real-time decision-making in autonomous multi-agent systems.
PhD & Postdoctoral Positions – Control, Optimization, and Online Learning (COOL) Lab, The University of Texas at Austin
Summary Table
| Position | PhD Students & Postdoctoral Researcher |
|---|---|
| Designation | PhD Student / Postdoctoral Fellow |
| Research Area | Control Theory, Optimization, Machine Learning, Multi-agent Systems |
| Location | Department of Aerospace Engineering, The University of Texas at Austin, USA |
| Starting Term | Spring/Fall 2026 |
| Eligibility/Qualification | Strong background in control theory, optimization, and/or machine learning with solid mathematical skills |
| Application Email | thinhdoan@utexas.edu |
| Application Link | Lab & Application Details |
| Last Date to Apply | Applications will be reviewed until positions are filled |
Designation
PhD Students and Postdoctoral Researcher
Research Area
- Online Learning and Control for Real-Time Decision-Making
- Distributed Optimization for Multi-Agent Autonomy
Location
Control, Optimization, and Online Learning (COOL) Lab
Department of Aerospace Engineering
The University of Texas at Austin, USA
Eligibility/Qualification
- For PhD applicants:
- Strong academic background in control theory, optimization, or machine learning.
- Excellent mathematical and analytical skills.
- Bachelor’s or Master’s degree in Aerospace Engineering, Electrical Engineering, Computer Science, Applied Mathematics, or related fields.
- For Postdoctoral applicants:
- PhD in a relevant discipline (Control, Optimization, or Machine Learning).
- Proven publication record in top-tier journals/conferences.
- Demonstrated experience in research involving real-time decision-making or multi-agent systems.
Job Description
The selected candidates will work on advanced research projects involving:
- Theoretical and algorithmic development in online learning, control, and optimization.
- Application of developed methods to autonomous multi-agent systems.
- Collaborative research with interdisciplinary teams at UT Austin.
- Dissemination of research findings through high-impact publications and conference presentations.
How to Apply
Interested candidates should send the following documents via email to Professor Thinh T. Doan at thinhdoan@utexas.edu:
- Curriculum Vitae (CV)
- Academic Transcripts
- Short Research Statement describing research interests and relevant experience
Further details about the lab and research activities can be found at: https://lnkd.in/eX79heqZ
Last Date to Apply
Applications are open until all positions are filled. Early submissions are strongly encouraged.
