Two Full Professorships; W Artificial Intelligence

University of Potsdam, Digital Engineering Faculty

Organisation/Company University of Potsdam, Digital Engineering Faculty Research Field Computer science » Other Researcher Profile Leading Researcher (R4) Positions Other Positions Country Germany Final date to receive applications 15 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

The Digital Engineering Faculty at the University of Potsdam invites applications for two joint professorships under the Jülich Model with the Hasso Plattner Institute for Digital Engineering gGmbH ( financed by the Hasso Plattner Foundation ) to be filled as soon as possible:

Two Full Professorships (W3) for Artificial Intelligence

As part of our growth initiative, we want to strengthen our Data & AI research cluster and are looking for two new colleagues in Artificial Intelligence (AI). Candidates should be internationally recognized for their technical contributions and have an excellent research and teaching profile. We are open both to candidates that drive AI foundations or methods and to candidates working on applications for our other HPI research clusters, including the Digital Health, Cybersecurity, and Systems clusters.

We will consider candidates from all subfields of AI, for example:

• Foundations:
  Machine Learning, Statistical AI, Optimization, Data Science, Data Analysis, Responsible AI
• Methodologies:
  Foundation Models, Data Engineering, MLOps, Hybrid AI, AutoML, Benchmarks, ML for Systems, Systems for ML
• Modalities:
  Natural Language Processing, Computer Vision, Speech & Audio, Structured Data

The candidate should demonstrate excellence in the following aspects:

• Outstanding publication track record in international conference proceedings and journals in the fields mentioned above
• Teaching in artificial intelligence in practice or theory for undergraduate and graduate levels
• Advising experience at bachelor, master, and Ph.D. level
• Acquisition of external funding through public or industry grants

We offer scientists excellent opportunities to further develop their skills in research and teaching. All scientists are encouraged to participate in our international research programs with leading research institutions, including Stanford, UC Irvine, or Mount Sinai Health System. We are looking for a team-oriented and committed colleague who is a good fit for the inclusive and family-friendly environment of HPI. Courses can be taught in German or English.

HPI’s cam-pus is spacious, green, modern, equipped with the latest technology – and right next door to Berlin. We also help you to accelerate your spin-off ideas with design thinking and our support program for entrepreneurs.

The interviews are scheduled to take place in March 2026 on our Campus Griebnitzsee. If you have any questions, please contact Prof. Dr. Felix Naumann (feli).

The joint appointment will be implemented according to the “Jülich Model” with a teaching obligation at the University of Potsdam in accordance with the Brandenburg Higher Education Act (BbgHG).

The hiring process is subject to the requirements set forth in Section 43 subsection 1 sentence 1 no. 1 – 3 and no. 4 letters a and c of the BbgHG. The appointment procedure is conducted in accordance with Section 42 BbgHG.

The University of Potsdam and the HPI value diversity and thus pursue the goals of equal opportunities and diversity in accordance with the general principle of equal treatment. One of the UP’s and HPI’s strategic goals is to significantly increase the proportion of women in research and teaching. Therefore, the UP and the HPI expressly invite applications from qualified female scientists.

People with a severe disability will be given preference if they are equally qualified. Periods of time taken for parental leave or caregiving are taken into account when assessing applicants’ academic careers. The implementation of equality and diversity standards in the respective field of work is expected.

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