Peter Zaspel
3 months ago
Reconstructing past temperatures in Antarctica Bergische Universität Wuppertal in Germany
I will soon be advertising a funded PhD position in Antarctic climate research at the interface of mathematics, computer science, and data science.
Bergische Universität Wuppertal
Germany
Expired
Keywords
Description
Bergische Universität Wuppertal has announced upcoming recruitment for a funded PhD position in Antarctic climate research, supported by the DFG Priority Programme SPP 1158. The project focuses on reconstructing past temperatures in Antarctica by integrating ice-core data, borehole measurements, and advanced statistical modeling. The research is highly interdisciplinary, sitting at the intersection of mathematics, computer science, data science, and climate science.
The group collaborates with Prof. Dr. Thomas Laepple from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, bringing together expertise from leading German institutions in polar research.
The successful candidate will join a vibrant research community and contribute to cutting-edge environmental science. Applicants should have a strong background in mathematics, computer science, data science, or climate science, with experience in statistical modeling and environmental data analysis considered a plus.
Funding for the position is secured, but specific details on stipend and tuition are not yet provided. The official job posting will be released soon, and interested candidates are encouraged to stay tuned for application instructions.
Funding
The project has recently received funding, suggesting the PhD position will be funded. No details on stipend amount, tuition coverage, or funding type are provided.
How to apply
The official job posting for the PhD position will be advertised soon. Interested candidates should monitor the university's career page and the research group's announcements for application instructions.
Requirements
Applicants should have a strong background in mathematics, computer science, data science, or climate science. Experience with statistical modeling and handling environmental data is highly desirable. Specific degree requirements, GPA, or language tests are not mentioned.
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