Qualifikationen
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Desirable Qualifications
1. A strong publication track record for your career stage, including papers in MICCAI, CVPR, ECCV, or prestigious Q1 journals like IEEE TMI and Medical Image Analysis.
2. Experience in teaching, research organization, or industrial collaboration.
3. Familiarity with self-supervised learning, category theory, or human-in-the-loop systems is a bonus!
Why FAU?FAU is a progressive, inclusive employer in a city with an excellent quality of life, short commutes, and a thriving academic and cultural community. Our lab has won international awards and prizes, and we pride ourselves on pushing boundaries in medical deep learning. You'll join a team that values curiosity, collaboration, and cutting-edge innovation.
Stellenzusatz
Befristetes Forschungsvorhaben
The final job classification within TV-L is subject to conditions of Bavarian and German public service regulations (approx. 55,0000 salary per year).
Interested? Please send:
4. A cover letter outlining your motivation and fit for the role.
5. A CV, including your publication list.
6. A 2-page research statement describing your vision for future work.
7. Copies of certificates and contact details for at least one reference.
8. Email your application as a single PDF file to by 28.02.2025. If you have questions, feel free to contact Prof. Bernhard Kainz directly.
Commitment to DiversityFAU is committed to equality, diversity, and inclusion. Applications from underrepresented groups, including women, minorities, and individuals with disabilities, are highly encouraged. Preferential consideration will be given to candidates with equal qualifications who are severely disabled. Part-time options may be available unless stated otherwise.
Veröffentlichungsdatum: 15.01.2023,