The Accessible and Accelerated Robotics (A2R) Lab at Dartmouth College is hiring a Postdoctoral Researcher to work jointly with Thomas Lew and the rest of the Human Interactive Driving team at the Toyota Research Institute (TRI) on real-time, uncertainty-aware optimal control, targeting autonomous driving at the limits of handling, with validation on high-performance vehicles.
Research topics may include (but are not limited to):
- Novel (stochastic) optimal control algorithms and methods
- Structure-exploiting numerical optimization solvers
- Differentiable optimization
- High-performance GPU implementations
- Hybrid gradient-, sampling-, and learning-based methods
- System integration and design for real-world deployments in dynamic environments
Requirements:
- Ph.D. in CS, EE, Robotics, Controls, or related field
- Strong foundations in optimal control/optimization and software engineering
- GPU acceleration experience strongly preferred
- Real-world robotics/autonomy experience and robot learning are a plus
Details: Position starts as early as April 2026; 1-year appointment with potential extension up to 3 years total. Based at Dartmouth (Hanover, NH) with hybrid collaboration with TRI (Los Altos, CA) and opportunities for trips to validate algorithms on high-performance vehicles on a racetrack in California.
Apply: Email Brian Plancher (plancher@dartmouth.edu) with (i) CV, (ii) brief cover letter, (iii) 2–3 references. A formal job posting will be available shortly.