Research Assistant (PhD Student) or Postdoctoral Researcher (TV-L E13 - 100%) starting 1 April 2025

TN Germany; Erlangen; Vor Ort; EUR 55.000; Vollzeit

Zusammenfassung

Join a vibrant academic community as a Research Assistant or Postdoctoral Researcher, specializing in cutting-edge medical deep learning. This role offers an exciting opportunity to contribute to impactful research with a strong focus on innovation and collaboration. The position is part of a dynamic lab recognized for its excellence in research and is situated in a city celebrated for its quality of life. With a commitment to diversity and inclusion, this forward-thinking institution encourages applications from all backgrounds. If you are passionate about advancing knowledge and making a difference, this role is perfect for you.

Qualifikationen

• Strong publication record in top-tier conferences and journals.
• Experience in teaching and research organization.

Aufgaben

• Conduct research in medical deep learning.
• Collaborate with industry and academic partners.

Kenntnisse

Publication Record

Teaching Experience

Research Organization

Industrial Collaboration

Self-Supervised Learning

Category Theory

Human-in-the-Loop Systems

Ausbildung

PhD in a relevant field

Jobbeschreibung

Research Assistant (PhD Student) or Postdoctoral Researcher (TV-L E13 - 100%) starting 1 April 2025, Erlangen

This position is based at FAU, a progressive and inclusive employer located in a city known for its quality of life, short commutes, and vibrant academic and cultural community. The lab specializes in medical deep learning and has received international awards.

Qualifications

• A strong publication record, including papers in MICCAI, CVPR, ECCV, or prestigious Q1 journals like IEEE TMI and Medical Image Analysis.
• Experience in teaching, research organization, or industrial collaboration.
• Familiarity with self-supervised learning, category theory, or human-in-the-loop systems is a bonus.

Additional Details

The position is a fixed-term research project, with the final classification within TV-L subject to Bavarian and German public service regulations (approx. €55,000 salary per year).

Application Process

Please send the following as a single PDF file by email to Prof. Bernhard Kainz by 28.02.2025:

• A cover letter outlining your motivation and fit for the role.
• A CV, including your publication list.
• A 2-page research statement describing your vision for future work.
• Copies of certificates and contact details for at least one reference.
• Note: Feel free to contact Prof. Bernhard Kainz directly if you have questions.

Additional Notes

FAU is committed to diversity, equality, and inclusion. Applications from underrepresented groups are highly encouraged. Part-time options may be available.