31 deep-learning-phd Postdoctoral positions at Chalmers University of Technology in sweden
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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engineering, mechatronics etc. The PhD degree must be awarded no more than three years prior to the application deadline. Required skillset Analytical understanding of Reinforcement Learning, Dynamics and
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Excellence Centre (2024-2029) aimed at realizing breakthroughs in integrated photonics. You will thus be part of a team of PhD students and postdocs in a constellation of local theoretical and experimental
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collaboration with others, and to coach PhD students. You will be expected to develop your skills, the team, and contribute with your creative ideas. We value a collaborative attitude and an interest in working
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intelligence, machine learning, data science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine
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are looking for The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral degree in computer science, artificial intelligence, machine learning, data science
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of business models in the context of AI, platforms and servitization Entrepreneurship in emerging technology domains – opportunities and challenges for startups in AI and deep tech Strategic entrepreneurship
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is to perform your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration