Research assistant

Interested in advancing your data science or machine learning career? The DSA group is recruiting new research assistants (Hilfswissentschaftlern; “HiWis”) to work with us on several exciting projects. Positions are available immediately.

The Data Science and its Applications research department is looking to expand its team with several student research assistants (HiWis) contributing to our current research topics. Initial employment will be for 3 months with the possibility of extension. For suitable candidates we offer the possibility to write their bachelor’s or master’s thesis in our department.

Your skills

  • Demonstrable interest in and understanding of data science, machine learning, statistical modelling or scientific reproducibility
  • Proficiency in Python, including frameworks such as PyTorch, or other scripting languages (R, Julia)
  • Familiarity with machine learning concepts, e.g. active learning, reinforcement learning, transfer learning
  • Strong analytical and problem-solving skills and ability to work independently
  • Good communication skills in English


As part of the Data Science and its Applications group, you will contribute to one or more of our research projects, including in the areas of personalized medicine, bioinformatics, spatiotemporal event modeling, trustworthy AI, and knowledge-intensive machine learning.

Your tasks will include one or more of the following:

  • Collaborate with our team of data scientists to develop reproducible and extensible data science workflows leveraging prior knowledge and information from heterogeneous data sources
  • Conduct research to accelerate the scientific discovery process through efficient implementation and comparison of data analysis pipelines
  • Critically assess the availability and accessibility of useful datasets from open databases and large biobanks
  • Assist in the development of tools and frameworks for modeling, integrating or extracting knowledge from various sources
  • Exploring the challenges and opportunities of various methods from the scientific literature

Work environment

You will join an exciting work environment in the field of AI and its beneficial applications.

  • Intelligent and dedicated colleagues who care about making a positive impact with their research
  • Working in a dedicated team
  • Good compatibility with studies
  • Flexible working hours
  • Working on varied tasks with the opportunity to learn new skills
  • Long-term employment possible
  • Potential for bachelor/master thesis

If you would like to know more about this opportunity—get in touch.

Sebastian Vollmer
Sebastian Vollmer
Professor for Applications of Machine Learning

My research interests lie at the interface of applied probability, statistical inference and machine learning.