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19 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 8 May
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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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. There will be a strong focus on developing robust methods with mathematical guarantees, focusing on statistical and optimization properties with potential applications to cardiology and medicine. The exact
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, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data driven. Will you be part of that change? Then join us
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. Optimal transport is a key mathematical concept that allows us to understand notions like inference and sampling as dynamic processes of probability distributions. Building on the theoretical insights, we
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The workplace is the division of Mathematical Statistics with approximately 25
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29 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Application
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, electrical engineering, engineering physics, applied mathematics, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in areas previously
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research