Summary: The AI Competence Center (AI.UP) at the University of Potsdam is inviting applications for two full-time AI Research Consultant positions (f/m/d) to support interdisciplinary collaboration and advanced AI methodologies.
Designation:
Junior/Senior AI Research Consultant (2 Positions)
ID no. 309/2026
Type: Full-time
Duration: Limited to 4 years
Salary Scale: TV-L E13
Start Date: Summer 2026
Research Area:
Advanced AI methodologies across natural sciences, humanities, and social sciences
Location:
University of Potsdam, Germany
Eligibility/Qualification:
- Master’s or PhD in Computer Science, Mathematics, Statistics, Physics, or related fields (PhD desirable)
- Strong background in machine learning and modern AI methods
- Excellent programming skills (preferably Python)
- Experience in interdisciplinary collaboration and scientific consulting
Job Description:
- Provide high-level AI and methodological consulting across multiple disciplines
- Develop and implement advanced AI methods
- Support grant proposals and strategic research initiatives
- Initiate pilot studies and proof-of-concept projects
- Contribute to workshops and training activities
- Pursue independent research (≥ 1/3 protected research time)
How to Apply:
Send your application, including the ID no. 309/2026, to the Secretariat of the Chair of AI in the Sciences:
Email: lisa.goesel@uni-potsdam.de
Last Date to Apply:
March 22, 2026
Job Post
Title: Postdoctoral Researcher in Causal Inference & Explainable AI
Summary:
The Chair of AI in the Sciences at the University of Potsdam is seeking a motivated Postdoctoral Researcher to engage in cutting-edge research at the intersection of causal inference and explainable AI.
Designation:
Postdoctoral Researcher (f/m/d)
ID no. 308/2026
Type: Full-time
Duration: Limited until June 30, 2029
Salary Scale: TV-L E13
Start Date: Summer 2026
Research Area:
Causal Inference and Explainable AI (XAI)
Location:
University of Potsdam, Germany
Eligibility/Qualification:
- PhD in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
- Strong background in causal inference and/or explainable AI
- Excellent Python and machine learning skills
- Interest in interdisciplinary collaboration
Job Description:
- Conduct research developing causally interpretable AI systems
- Support mechanistic and interventional reasoning in complex real-world systems
- Engage in interdisciplinary collaborations
- Contribute to publications and presentations
How to Apply:
Send your application, including the ID no. 308/2026, to the Secretariat of the Chair:
Email: lisa.goesel@uni-potsdam.de
Last Date to Apply:
March 22, 2026
