Research School: Foundations of AI
Join a cutting-edge PhD and postdoctoral programme advancing foundational AI methods and theories at Hasso Plattner Institute and University of Potsdam.
Best for:Best for computer science PhD candidates and postdocs with a strong interest in theoretical AI, algorithms, and mathematical foundations, seeking a collaborative and internationally oriented research environment.
Overview
The Research School 'Foundations of AI' at the University of Potsdam and Hasso Plattner Institute offers a structured doctoral and postdoctoral programme focused on advancing AI through foundational methods, energy-efficient algorithms, explainable decision-making, and mathematical theories. Participants benefit from close mentorship by experienced professors, access to state-of-the-art research facilities, and international collaborations with institutions like Stanford, UC Irvine, and the University of Cape Town. The programme emphasizes both theoretical innovation and societal impact, with a collaborative environment that includes regular research discussions, annual progress evaluations, and international exchange opportunities. It is ideal for researchers aiming to contribute to the core principles of AI while engaging in a vibrant academic community.
What you'll do
- Conduct independent and collaborative research in foundational AI methods, including energy-efficient and privacy-aware algorithms, explainable decision-making, and mathematical theories of AI.
- Present research progress annually in formal meetings with a thesis advisory committee (TAC) and participate in weekly research school talk series.
- Engage in regular research discussions, including annual retreats with individual feedback and exposure to external guests.
- Collaborate with international partners, including Stanford, UC Irvine, and the University of Cape Town, for joint publications and student/faculty exchanges.
- Participate in weekly social events, such as the 'school lunch roulette,' to foster networking and collaboration among peers.
- Develop and implement research proposals aligned with the research school’s focus areas and potential HPI research groups.
Requirements
Degree required: Master's degree (or equivalent) in Computer Science, Digital Technologies, or a related field.
Degree offered: Doctoral degree (Dr)
Language: English; no minimum proficiency level required (English is the main language of instruction).
Instruction: English (with some German language courses available but not mandatory)
- Strong background in computer science or related disciplines.
- Proven research experience in AI, algorithms, or theoretical computer science.
- Ability to conduct independent research and contribute to collaborative projects.
- Proficiency in academic writing and presentation skills.
- Experience with scientific methodologies and tools relevant to AI research.
- No nationality restrictions.
- No minimum age requirement.
- No prior experience caps, but research experience in AI or related fields is highly valued.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Prerequisites
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- Tuition
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How to apply
Applicants must submit a curriculum vitae, copies of certificates and transcripts, a brief research proposal indicating suitable HPI research groups, work samples or copies of relevant scientific work (e.g., Master’s thesis), and a letter of recommendation. Applications should be sent via email to the respective research school speaker.
- Curriculum vitae
- Copies of certificates and transcripts
- Brief research proposal (mentioning suitable HPI research groups)
- Work samples or copies of relevant scientific work (e.g., Master’s thesis)
- Letter of recommendation
Contact
Ralf Herbrich· Research School Speaker
https://hpi.de/en/research/research-schools/foundations-of-ai/
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