Student Assistant Lab

The successful applicant will be part of the Image Data Exploration and Analysis (IDEA) FAU, which is the research group of Prof. Bernhard Kainz. We have pioneered new methodological developments in the field of medical image analysis and machine learning as evidenced by several international awards, prizes, and best paper awards. The group is internationally renowned for its research in medical deep learning, which has been proven by publications at top conferences (MICCAI, CVPR, ECCV) and in prestigious journals (IEEE TMI, Medical Image Analysis, npj Nature Digital Health, The Lancet, etc.).

We are seeking a motivated and detail-oriented Student Assistant to help organise an upcoming challenge as part of an international conference! If you re enthusiastic about HPC clusters, Docker/Apptainer, and supporting researchers in participating and organising the challenge, this role is perfect for you. Join our team and gain valuable experience working on an international project that brings together researchers and students from around the world.

Notwendige Qualifikationen:

• Strong experience with Docker and/or Apptainer for containerisation.
• Familiarity with High-Performance Computing (HPC) environments and cluster management.

• Highly motivated, with a proactive approach to tackling tasks.
• Team-minded, with the ability to collaborate effectively and communicate clearly.
• Good organisational skills and attention to detail.
• Ability to manage time effectively and work under deadlines.

Wünschenswerte Qualifikationen:

• Prior experience assisting in a challenge, workshop, or event at an international conference.
• Knowledge of Kubernetes, Docker Swarm, or similar orchestration tools.
• Basic scripting skills for automation (e.g., Bash, Python).

Befristetes Forschungsvorhaben

Please send your cover letter, curriculum vitae, transcript of records and a 100-word motivation letter with the following subject line: CH2025. Applications with missing information will be considered incomplete and will not be processed. We are looking for a potential student assistant who targets a longer employment term than 5 months, the ideal candidate would be in 2./3. master semester. Please send your application asap and do not wait until the deadline.

The Department AIBE and FAU see itself as a progressive and forward-thinking employer. We welcome your application regardless of your age, gender, cultural and social background, religion, belief, disability or sexual identity. Friedrich Alexander University promotes professional equality for minority groups and women. These groups are therefore expressly encouraged to apply. Severely disabled persons within the meaning of the Severely Disabled Persons Act will be given preferential consideration in the case of equal professional qualifications and personal suitability if the advertised position is suitable for severely disabled persons. At the applicant's request, the Equal Opportunity Officer may be called in for the interview without any disadvantage to the applicant.