Research Assistant/Associate (f/m/d) Doctoral Candidate (f/m/d) STiL

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled by 2/1/2026 and offered for a fixed term of 3 years.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time position (75 % of the standard weekly hours for full-time employees).
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

The CG3 Chair at RWTH Aachen University focuses on applied geophysics and simulations in computational geoscience. Our work encompasses fundamental scientific inquiries as well as dynamic projects aimed at understanding and predicting various aspects of subsurface utilization.

Applications are in the fields of:
- Geothermal energy,
- Subsurface storage,
- in the sustainable use of raw materials
- and also in near-surface geophysics.
Methodically we develop
- concepts for geosientific simulation and data integration,
- combines these with methods from machine learning and artificial intelligence,
- and the quantification of uncertainties.
We are actively involved in the development of open source scientific software. In our petrophysical laboratories we determine hydraulic and thermal rock properties under pressure and at elevated temperatures. With geophysical measurements in the field we cover a wide range of methods for geophysical and geoscientific data integration, modelling and simulation.
In teaching, we participate in the B.Sc./M.Sc. programs "Applied Geosciences" and "Georesource Management" at RWTH Aachen University (www.fgeo.rwth-aachen.de) and in the international Joint M.Sc. program "Applied Geophysics", which we offer together with TU Delft and ETH Zurich (www.idealeague.org/geophysics).
For further information please visit our website: www.cg3.rwth-aachen.de

Ihr Profil

You hold a university degree (Master’s level or equivalent) in Applied Geosciences, Computer Science, Data Science, Computational Science, or a related discipline. Ideally, you have solid programming experience in Python and are familiar with notebook-based learning environments such as Jupyter.
Experience with machine learning, large language models, educational technology, or digital teaching concepts is an advantage but not a prerequisite.

You work independently, in a structured and solution-oriented manner, and enjoy collaborating with students and colleagues. Strong communication skills, motivation to explore new technologies, and the ability to contribute actively to a team are essential.
Very good written and spoken English or German is expected; knowledge of the other language is welcome and can be developed during the position.

Ihre Aufgaben

In this position, you will work on the project “Chatbot for Programming in the Geosciences” and contribute to its successful implementation. Your core responsibilities will include:

• Developing, implementing, and continuously improving an AI-driven chatbot to support programming exercises in Jupyter Notebooks
• Designing didactically meaningful feedback mechanisms and linking the chatbot to teaching materials from the courses “Quantitative Methods” and “Machine Learning for Geosciences”
• Conducting test deployments, evaluating usability and learning effectiveness, and iterating the system based on feedback from students and instructors

The position also offers the opportunity to pursue your own research interests.
Depending on your background and ambitions, you may align the project with scientific research directions such as:

• Development of AI-supported workflows for geological modeling and simulation (e.g., using GemPy or other modeling and inversion tools)
• Investigating the interface between geological modeling, programming and data competencies, and AI-based learning assistance systems in geosciences
• Integrating synthetic or real 3D geological model data into the learning process to enable problem-based learning approaches in Computational Geoscience

Please send the completed questionnaire on https://rwth-aachen.sciebo.de/s/KhF2nxYuxMpkwyo together with your application documents to job@cg3.rwth-aachen.de.

Über uns

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.

Besoldung / Entgelt

EG 13 TV-L