Postdoc position: Statistical Data Science and Machine Learning for Climate Change Research

Together with the platform leads and members, the recruited person will actively engage in platform coordination and scientific animation activities, provide expertise and feedback to graduate students and other Early Career Researchers. Scientific animation may include crash-courses on topics relevant to the platform and the recruited person. With a baseline affiliation in statistics, the recruited person will be encouraged to regularly visit and possibly be hosted (part time) in other OCCR groups depending on collaborations.

UniBE is ambitious. With us, you deliver top performance and test your skills against the best.

The University of Bern is committed to promoting equal opportunities and equality between women and men and all genders, strives to reduce barriers to entry and promotes the reconciliation of work and care responsibilities. For the university, the diverse perspectives of university members are an essential component of excellence in research, teaching and administration.

• The successful candidate holds a PhD in statistics / ML / applied mathematics and has a strong interest in climate and weather applications, or he/she holds a PhD in climate or atmospheric science, meteorology or similar with an excellent background in statistics and ML.

• She/he has excellent programming and data handling skills, and a keen interest in interdisciplinary research.

• The candidate is proficient in English, both written and spoken.