Postdoctoral Fellow in GPU-Accelerated Uncertainty-Aware Optimal Control

Position range in Grafton County $68k•$114k Per Year Postdoctoral Fellow in GPU-Accelerated Uncertainty-Aware Optimal Control Dartmouth College

Occupation:

Biochemists and Biophysicists

Location:

Hanover, NH•03755 Positions available: 1 Job #: 179895

Source:

FileImport•Dartmouth College

Posted:

01/13/2026

Expires:

05/15/2026

Web Site:

apply.interfolio.com

Job Type:

Regular, Full Time (30 Hours or More) Job Requirements and Properties Work Onsite Full Time Schedule Full Time Job Type Regular Job Description .

Dartmouth College:

School of Arts & Sciences:

Sciences:

Computer Science Location Hanover, NH Open Date Jan 12, 2026 Description The Department of Computer Science at Dartmouth College invites applications for a postdoctoral researcher with expertise in the area of GPU-Accelerated Uncertainty-Aware Optimal Control. This project is housed in the Accessible and Accelerated Robotics (A2R) Lab led by Professor Brian Plancher and is a joint project with Thomas Lew and the rest of the Human Interactive Driving team at the Toyota Research Institute (TRI). This project focusses 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 This position is full-time, non-remote, in-residence at Dartmouth College in Hanover, NH, with start date as early as April 2026. Appointments are typically for a 1-year period and renewable up to 3 years total. Postdoctoral researchers are advised and hosted in the Department of Computer Science. They are also supported by the Guarini School for Graduate and Advanced Studies, including their community initiatives. Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their materials how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all. Qualifications PhD in Computer Science, Electrical Engineering, Robotics, Controls, or a closely related field; or ABD with degree received by the start date. Strong foundations in optimal control/optimization and software engineering GPU acceleration experience strongly preferred Real-world robotics/autonomy experience and robot learning are especially advantageous This position is eligible for J-1 visa sponsorship for eligible candidates. Employment is contingent on authorization to work in the United States. Application Instructions Please submit all materials electronically through

Interfolio:

Cover letter, with a maximum of 2 pages, that includes research and teaching interests as well as preparation to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all; Curriculum vitae, including names and contact information for ...For full information see follow application link. Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of underrepresented groups are encouraged.