Research Assistant with bachelor degree (f/m/d)



Stephanie Jansen


0241 80 21601



Lehrstuhl für Informatik 6 (Maschinelles Lernen)

Our Profile

The Representation, Learning, and Planning Lab (RLeap) is a new research lab within the Chair of Machine Learning and Reasoning at RWTH Aachen. The lab and the chair are headed by Prof. Dr. Hector Geffner, an Alexander von Humboldt Professor in the Computer Science Department. The aim of the lab is the development of methods and representations for learning to act and plan in ways in which the learned components can be reused in a flexible and goal-oriented manner. The research is funded by the Humboldt Foundation, an Advanced ERC Grant, and RWTH Aachen, and builds on  ideas and methods from different areas in AI and Machine Learning: deep learning and deep reinforcement learning, planning and knowledge representation, and logic and and combinatorial optimization. Our approach is a form of top-down representation learning based on a clear separation between what is to be learned and how. More generally, we seek a tight integration of data-based learners and model-based reasoners (solvers) that can inform, enhance and complement each other in order to  make AI systems that are more reliable, more transparent, and more adapted to human interaction. Details at

We are looking for highly motivated and talented students at RWTH with a strong technical background in CS that are interested in AI/ML research.


Your Profile

You have a Bachelor degree in computer science or equivalent with clear evidence of outstanding academic performance.
You are enrolled in a consecutive CS Master program at RWTH or equivalent.
You have a solid technical background in computer science.
You are a very good programmer and  like to do experimental work in CS.
You know logic and theory, and can assimilate theoretical work.
You have taken AI and ML courses and have  an interest in planning and/or reinforcement learning.
You have a crisp sense of understanding and  need to understand things deeply.
You have excellent communication skills (in English).

Your Duties and Responsibilities

You will have the chance to take part in  cutting-edge research in one of the top groups in planning and learning.
You will have to chance to contribute to this work and publish it in top conferences.
You will guide Bachelor students.
You will have a limited involvement in teaching.
You will help us in other academic or administrative tasks.

Interested candidates should send a CV, transcripts and a motivation letter to Stephanie Jansen,

What We Offer

The position is to be filled at the earliest possible date and offered for a fixed term initially for three months.
A Further employment is intended.
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 contract position.
The standard weekly hours will be 8 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 14,00 € per hour.

About us

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

Application deadline:15/07/2023
Mailing Address:RWTH Aachen University
Lehrstuhl für Informatik 6 (Maschinelles Lernen)
Stephanie Jansen
Theaterstraße 35-39
52062 Aachen
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.