Model Development Student Assistant, Berlin (Werkstudent / studentische Hilfskraft)

Kurz zusammengefasst

The Model Development Student Assistant will join icct's research team in Berlin, helping to prepare and curate datasets, run and document simulation experiments, and aid in building and validating predictive models for climate‑impact assessments. Daily tasks involve writing code in Python or R, applying statistical or machine learning methods, and handling GIS or remote‑sensing data under the guidance of senior scientists. The position seeks candidates with solid programming abilities, coursework or project experience in environmental science, data science or engineering, and strong analytical thinking, meticulous attention to detail, and clear communication skills for interdisciplinary collaboration. It offers practical exposure to advanced climate‑modeling tools within an internationally focused institute, serving as a stepping stone toward a career in climate research or data‑driven policy. What the role asks for: - Proficiency in Python or R programming - Familiarity with statistical modelling or machine learning - Basic experience with GIS or remote‑sensing data - Coursework or projects in environmental science, data science, or engineering - Strong analytical thinking - High attention to detail - Ability to communicate results clearly - Nice-to-have: experience with climate‑modeling tools