The Max Planck Institute for Software Systems (MPI-SWS) invites applications from outstanding early-career researchers conducting leading research on the technical, societal, or cognitive dimensions of AI and computing. This fellowship provides an opportunity for scholars to advance their independent research while engaging with an interdisciplinary community of experts.
About the Position
The position supports researchers working on topics such as, but not limited to:
- Foundations of artificial intelligence and machine learning
- Algorithmic fairness, accountability, and transparency
- Human-AI alignment, collaboration, and interactive systems
- AI and human cognition
- AI applications in education, finance, healthcare, and other critical domains
- AI and public policy, governance, regulation, and law
- Societal implications of large-scale computing systems
Postdoctoral researchers will have access to world-class research facilities, computing infrastructure, interdisciplinary collaboration opportunities, and professional development resources, and will be hosted by one of the following faculty members at the Max Planck Institute for Software Systems:
- Manuel Gomez Rodriguez
- Nina Grgic-Hlaca
- Krishna Gummadi
- Goran Radanovic
- Adish Singla
- Mariya Toneva
Benefits
The position is awarded for up to three years. The postdoctoral researcher will have access to extensive mentorship and networking opportunities in an interdisciplinary community, generous research support for travel, computing resources and project expenses, optional opportunities to mentor students, contribute to teaching, or participate in public engagement initiatives, and a competitive salary, comparable to international postdoctoral programs.
Eligibility Criteria
Applicants must have completed a PhD (or equivalent doctoral degree) in computer science, AI, engineering, or a related field before the start of the fellowship. If the PhD has not been awarded by the time of the application, the CV should specify the expected PhD award time.
Applicants should demonstrate a strong research track record and an innovative research agenda relevant to AI, computing, and society.
Openings for multiple positions are currently available.