researcher/PhD student (f, m, d) in Data ScienceFull PhD

  • English, German

    Working Language

  • Karlsruhe


  • 30 Jun 2024

    Application Deadline

  • as soon as possible

    Starting Date


Open Positions


Time Span

as soon as possible for 3 years

Application Deadline

30 Jun 2024



Type of Position

Full PhD

Working Language
  • English
  • German
Required Degree


Areas of study

Applied Computer Science, Bioinformatics, Geoinformatics, Computer Science, Engineering Informatics, Media Informatics, Medical Informatics, Practical Computer Science, Software Engineering, Computer Engineering, Theoretical Computer Science, Information Systems and Management, Applied Mathematics, Mathematics, Statistics, Technomathematics, Business Mathematics, Astronomy, Astrophysics, Experimental Physics, Physics, Theoretical Physics



Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for society and the environment. Our goal is to make significant contributions to mastering the global challenges of humanity in the fields of energy, mobility, and information. To achieve this, over 9,000 KIT employees collaborate in a wide range of disciplines in research, academic education, and innovation.

The chair of information systems at Karlsruhe Institute of Technology, Germany (KIT) is offering a position for a

researcher/PhD student (f, m, d) in Data Science.

Your responsibilities will encompass developing, implementing, and evaluating methods and tools in the realm of data science. Potential research areas include, but are not limited to, the quality of scientific data, the generation of synthetic data, and endeavors at the intersection of query processing and data privacy. Your work should not only exemplify rigorous computer science research but also facilitate tangible advancements through collaboration with users from diverse fields, such as energy systems, materials science, or robotics. We also intend to entrust you with some teaching responsibilities.

You are expected to possess expertise in databases and/or data analysis, along with fun­da­mental programming skills or the aptitude to quickly acquire them. Essential qualifications include a passion for scientific research and a strong academic background, preferably a di­ploma or master's degree in computer science or a related field such as mathematics or physics. The application is also open to individuals currently employed in industry who seek to return to academia for a dissertation project. Kindly submit your app­li­cation documents, including your CV, university transcripts with grades, and a concise explanation of your motivation for this specific position.

We offer:

  • a lot of free space for scientific development,
  • excellent personal guidance and support,
  • fascinating research topics with a lot of societal relevance,
  • an open-minded and highly collaborative research environment, with much freedom for cooperation,
  • opportunities for personal growth and further training leveraging the rich infrastructure at KIT, an institution that is both a university and a large-scale research facility,
  • an excellent living environment in an attractive, vibrant city in a beautiful region in Germany,
  • a salary that covers the living expenses in Germany well (TV-L 13), together with free university registration.

Your application must at least consist of a statement of motivation tailored to this specific offer (i.e., do not send text that is generic), university transcripts including grades and your CV. Please send everything as one pdf file, no larger than 5 MB. Please email your application to Prof. Klemens Böhm, klemens.boehm∂

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified. For more information, please visit:

Required Documents

Required Documents
  • Motivation letter
  • CV
  • Certificates
  • List of publications
  • References
Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service