Karlsruhe Institute of Technology 
Karlsruhe, Germany Resumen de la oferta
The Karlsruhe Institute of Technology in Germany is hiring a part‑time Academic Researcher (f/m/d) in Applied Geosciences for the Institut für Angewandte Geowissenschaften. The role focuses on the MALEG 4.0 project, aiming to boost geothermal power plant efficiency through automated hydrogeochemical data generation and machine learning analysis. Responsibilities include data acquisition, database management, model validation, and integrating a Digital Chemical System into the MALEG emulator. Candidates should hold a master’s degree in Applied Geosciences, Computational Earth Sciences, Informatics or a related field, possess strong programming skills (Python, MATLAB, C/C++), SQL experience, and be fluent in English (German preferred). A German driver’s licence (class B) is desirable. The position offers a salary of €44,000–€47,000 gross per year and potential for a PhD opportunity.
Generado a partir del contenido almacenado de la oferta. Confirma siempre los detalles en la publicación oficial.
Descripción del proyecto
Your tasks
Your responsibilities include:
- Being part of the MALEG 4.0 project (BMWE, FKZ 020E-100743476), the efficiency of geothermal power plants is being improved
- This requires the automated generation and processing of hydrogeochemical data generated by field experiments involving an emulator (twin of the power plant processes)
- The data is evaluated using machine learning algorithms
- Data acquisition and database management
- Data processing for machine learning applications
- Model validation, benchmarking and transfer
- Establishing a Digital Chemical System
- Workflow integration into MALEG emulator
- Possibility for a PhD position
Your profile
- Master’s degree in Applied Geosciences, Computational Earth Sciences, Informatics or related field
- Very good written and spoken English and preferably German language skills
- Preferably a German driver’s license (class B)
- Background in database management (e.g. SQL)
- Programming skills (e.g. Python, MATLAB, C/C++)
- Experience in data analysis and machine learning
- Interest in geothermal and geochemical applications
