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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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application! Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them, incorporating their own ideas and experience
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by using mathematical optimization. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours. Qualifications
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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to a better world. We look forward to receiving your application! Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral