Student Assistant (f/m/d)

As a tertiary and quaternary level provider of medical care, the University Hospital of RWTH Aachen combines patient-oriented medicine and care, teaching and research at an international level. The entire spectrum of medical care is provided through 36 specialist departments, 33 institutes and six interdisciplinary units. The co-location of patient care, research and teaching in a central building offers the best conditions for intensive interdisciplinary exchange and close clinical and scientific networking. Highly qualified teams of doctors, nurses and scientists work collaboratively to optimise the healthcare provision of our local, regional, national and international patients. Around 9,000 employees ensure that our care delivery is patient-oriented medicine and surpasses the highest quality standards. With 1,400 beds, the university hospital treats around 50,000 inpatient and 200,000 outpatient cases per year.

The Center for Computational Life Sciences (CCLS) is seeking a

Student Assistant (f/m/d)

The position is to be filled at the earliest possible date and offered for a fixed term of initially 6 months, with the possibility of extension.

The standard weekly hours will be 8 - 12 hours.

Within the framework of the excellence initiative, the Center for Computational Life Sciences (CCLS) was founded by members of RWTH Aachen University and UKA Aachen as an interfaculty center to foster multidisciplinary research in the field of computational life sciences. The CCLS integrates various subdomains of computational sciences ranging from mathematics over simulation sciences up to artificial intelligence in the context of fundamental biomedical research, applications in biotechnology, clinical research and clinical care.


  • Learn and master the functionalities and applications of DSPy.
  • Create, refine, and optimize prompts for large language models (LLMs) to achieve desired outcomes using DSPy.
  • Troubleshoot and resolve any issues related to DSPy and LLM prompting.
  • Participate in regular team meetings to discuss progress, challenges, and solutions.
  • Document the processes, methodologies, and results of your work for future reference and knowledge sharing.


  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Physics, Mathematics, or a related field.
  • Proficiency in Python programming.
  • Experience with or willingness to learn the Declarative Sequencing Python framework (DSPy).
  • Prior experience with machine learning models or data analysis projects is a plus.
  • Ability to work independently and collaboratively in a team.
  • Very good knowledge of English, both written and spoken


  • A valid certificate of study in Computer Science/Informatics or related degrees
  • For foreign students: valid residence certificate, work permit, registration certificate

The salary is based on the RWTH Guidelines for Student and Graduate Assistants.

This position is not gender specific.

The RWTH Aachen University Hospital promotes equal opportunities and diversity. Applications from women are expressly encouraged and if the applicant is suitable qualified, they will be given priority in accordance with the LGG. If suitably qualified, people with a registered disability will also receive priority.

Weekly hours are negotiable.

You should preferably use our digital application portal at for your application. There you have the option of securing your documents in the electronic application folder to prevent unauthorized access. Applications that reach us by email to: (this transmission path cannot be as effectively secured) will be transferred to the aforementioned portal and any accompanying documents will be disposed of in accordance with data protection regulations immediately after transfer. After the retention period has expired, the data in the portal will also be deleted. If you do not agree to a transfer to the Application portal your application cannot be considered.

The application deadline for the advertised position GB-P-48415 is July 15th 2024.

For more detailed information and postal application please contact Prof. Dr. Andreas Schuppert, 

Center for Computational Life Sciences

Pauwelsstrasse 19

52074 Aachen

E-Mail: aschuppertukaachende