Postdoctoral Fellow in Optimization and Learning

Harvard University
Cambridge, Massachusetts, US
Full-time

Department / Area

Electrical Engineering Position Description Professor Heng Yang’s computational robotics group in the School of Engineering and Applied Sciences at Harvard University seek motivated postdoctoral fellows with a Ph.

D. in electrical engineering, computer science, applied mathematics, or any related field.

Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory, reinforcement learning, control theory and decision science, and mathematical optimization are preferred.

Candidates will perform research on learning, optimization, estimation, and control of robotics and autonomous systems with a focus on theory development, algorithm design, performance analysis, and real-world deployment.

Candidates will also work closely with graduate students and collaborators. Basic Qualifications Ph.D. in electrical engineering, applied mathematics, computer science, or any related field. Additional Qualifications

30+ days ago
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