Student (f/m/x) - Software development / localization for space weather data

The Institute for Solar‑Terrestrial Physics focuses on the properties and interactions of the coupled ionosphere‑thermosphere‑magnetosphere (ITM) system and how it is driven by energy inputs from the sun and the underlying atmosphere. Within this field of research, the Institute for Solar‑Terrestrial Physics at the Neustrelitz site in Mecklenburg‑Western Pomerania focuses on research into space weather, which refers to the time‑varying conditions on the sun and in the solar wind and their effect on the ITM system.

What To Expect

The Department of Solar‑Terrestrial Coupling Processes studies the ionosphere and thermosphere using radar, satellite, and optical data. We work with both legacy systems and modern infrastructures. Some legacy data tools rely on specialized code that can hinder accessibility and collaboration. This student project aims to modernize such legacy software by translating it into widely used languages like Python, helping to foster open science and strengthen collaboration within the scientific and engineering communities focused on space weather research. During this project, you are expected to gain experience in utilizing scientific data for research and to develop skills in applying AI tools, including large language models (LLMs).

Your tasks

• localizing and translating software components from one programming language to another (e.g. Matlab to Python) using modern technology such as AI and LLM
• software development to help adapt measurements data availability to broader scientific users
• document the results for users
• collaborate with scientists and engineers to ensure technical accuracy and usability

Your profile

• completed scientific university degree (Bachelor’s degree / university diploma) in natural sciences (e.g. physics) or engineering (e.g. computer science) or other degree programmes relevant to the job
• ongoing Master’s program
• strong skills in programming with Python and MATLAB
• ability to work independently and collaboratively within a team
• good command of the English language

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 3787 ) please contact:

Hiroatsu Sato

Tel.: