๐—ฃ๐—ต๐—— ๐—ฃ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐—ป ๐—˜๐—ป๐˜ƒ๐—ถ๐—ฟ๐—ผ๐—ป๐—บ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฐ๐˜€

๐—ฃ๐—ต๐—— ๐—ฃ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐—ป ๐—˜๐—ป๐˜ƒ๐—ถ๐—ฟ๐—ผ๐—ป๐—บ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฐ๐˜€

Technische Universitรคt Dortmund Germany

Details

๐ŸŒ๐Ÿ“Š ๐—ฃ๐—ต๐—— ๐—ฃ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐—ป ๐—˜๐—ป๐˜ƒ๐—ถ๐—ฟ๐—ผ๐—ป๐—บ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฐ๐˜€ (3 ๐˜†๐—ฒ๐—ฎ๐—ฟ๐˜€) โ€“ ๐—ง๐—จ ๐——๐—ผ๐—ฟ๐˜๐—บ๐˜‚๐—ป๐—ฑ | ๐—ฅ๐—– ๐—ง๐—ฟ๐˜‚๐˜€๐˜ | ๐—ฅ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—”๐—น๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ฅ๐˜‚๐—ต๐—ฟ How can we infer reliable climate variability patterns from sparse observations? How can we ensure that future Earth system projections are statistically consistent with observational evidence? ๐ŸŒก๏ธ๐ŸงŠ๐ŸŒŠ The newly established ๐—˜๐—ป๐˜ƒ๐—ถ๐—ฟ๐—ผ๐—ป๐—บ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฐ๐˜€ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ at Technische Universitรคt Dortmund, embedded in the RC Trust, is looking for a PhD researcher (TV-L E13, 75%, upgrade to 100% possible) to join an interdisciplinary and internationally visible research environment. ๐Ÿš€๐Ÿ”ฌ ๐Ÿ’ก ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ณ๐—ผ๐—ฐ๐˜‚๐˜€: โ€ข Inferring spatio-temporal climate variability from sparse data โ€ข Latent Gaussian Markov Random Fields & SPDE approaches โ€ข Integrating observational constraints into future Earth system projections โ€ข Distributional statistical postprocessing with copulas This is a unique opportunity to work at the interface of probability theory, statistics, and climate science - addressing societally relevant questions about future environmental change. ๐ŸŒŽโœจ ๐ŸŽ“ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐—น๐—ฒ: โœ” Strong background in probability theory, statistics, or stochastic analysis โœ” MSc (or near completion) in statistics, mathematics, data science, physics, or related fields โœ” Programming skills (R or Python; Julia/C++/Fortran a plus) ๐Ÿ’ป โœ” Strong English proficiency โœ” Strong interest in applying statistical methods to open questions in climatology ๐ŸŒ ๐—ช๐—ต๐—ฎ๐˜ ๐˜„๐—ฒ ๐—ผ๐—ณ๐—ณ๐—ฒ๐—ฟ: โ€ข Outstanding international research environment โ€ข Close integration of statistical theory & climate applications โ€ข Access to high-performance computing clusters ๐Ÿ–ฅ๏ธโšก โ€ข Active supervision & strong doctoral support โ€ข Collaborative, diverse & family-friendly workplace ๐Ÿค๐ŸŒˆ ๐Ÿ“ Dortmund, Germany โ€“ at the heart of Europeโ€™s densest university landscape within the Research Alliance Ruhr. ๐Ÿ“… ๐—”๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฑ๐—ฒ๐—ฎ๐—ฑ๐—น๐—ถ๐—ป๐—ฒ: March 12, 2026 ๐Ÿ“ง Send your documents (motivation letter, CV, certificates, 1-page MSc thesis summary, two referees) as one PDF to: environmetrics@rc-trust.ai

Additional Resources

Download Resource
Login to Save

Related Scholarships

Loading scholarships...