Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
15 Sep 2025 Job Information Organisation/Company Seed Robotics Research Field Computer science » Cybernetics Computer science » Programming Computer science » Systems design Engineering » Control
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
on performance, safety, and robustness of robotic and learning-enabled systems. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear
-
Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 11 hours ago
a powerful bridge between biology and engineering. The PhD offers training in computational neuroscience, neural circuit modeling, and AI/robotics, as well as strong interdisciplinary exposure through
-
Center on AI for Decisions and Trust). Eligibility criteria PhD in Cybernetics, Control Engineering, Robotics, Computer Science, Statistics or related field. Demonstrated experience in research and/or
-
About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1
-
, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
-
to discuss the post informally, please contact Dr Yuanchang Liu () About you The ideal candidate will hold a PhD (or be close to completion) in Mechanical Engineering, Robotics, Marine Engineering, or a
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent