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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-EMMYPHD [#27461] Position Title: Position Type: Student programs Position Location: Hannover, Lower Saxony
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independently and in a goal-oriented manner. The ideal candidate should have an MSc or equivalent in a field connected to computational sciences (i.e. physics, mathematics, computer science, engineering
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Quantum Systems (PhoQS), experts from the fields of physics, computer science, mathematics, electrical engineering and information technology conduct joint research on integrated photonic quantum
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Application Deadline 26 Nov 2025 - 11:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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projects. Interest and ability to engage in computational and mathematical modeling is very important as well. Ideally, the successful candidate will need to bring prior knowledge of at least one of the
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papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or PhD degree in Computer Science, Mathematics, Physics, or similar fields Good knowledge of AI and
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
degree, diploma (university)) or equivalent in neurobiology, engineering, computer science, physics, or applied mathematics. Fluency in spoken and written English Strong programming skills Preferable
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and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer
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• Willingness to work in a team and in a research network • Computer programming experience • Knowledge in electronics • Experience in the field of optics and quantum optics is desirable We offer: • A truly
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward