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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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approaches. You have a strong academic track record and hold or are about to obtain an MSc or equivalent degree in a field related to our research. We value diversity and welcome applications from students
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development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs, issue tracking). Strong interest in academic research and willingness to pursue a PhD
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30, 2026 at the latest). You must have a strong academic background, exceptional motivation in doing translational research and a track record that matches the project(s) for which you are applying
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technical projects, theses, publications, or technical reports. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting project deadlines and delivering
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priorities independently and track record of meeting project deadlines and delivering results without constant supervision. Proven ability to work autonomously on complex technical problems and demonstrated
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work experience evident through technical projects, theses, publications, or technical reports. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting