Working Student Machine Learning for Personalized Pain Assessment (m/f/d)

Join our research team in part-time (8-10 hrs./week) as a Student Research Assistant (m/f/d) for the IU Incubator Project "TAPAS - Tailored Automated Pain Assessment Systems". This is a fully remote position within Germany or at one of our office locations. The project runs from 01.04.2026 to 31.05.2027.

Project Focus

This role supports cutting-edge research in machine learning for medical AI, with a focus on personalized pain recognition. As part of the IU Incubator Project TAPAS - Tailored Automated Pain Assessment Systems, you will contribute to developing novel AI approaches based on meta-learning and few-shot learning, enabling models to adapt to individual patients using only minimal data.

Your Tasks

Implementing and optimizing machine learning models, including meta-learning, few-shot learning, and multimodal approaches
Running, documenting, and evaluating experiments
Designing and maintaining reproducible ML pipelines
Conducting literature research and synthesizing scientific papers
Supporting general project management tasks
Preparing research publications and scientific materials

Depending on your contribution, there is a strong opportunity for co-authorship on scientific publications.

Your Profile

Enrolled at a university (HAW or Universität) - students in Bachelor's or Master's programs are welcome
Strong programming skills in Python as well as experience with PyTorch and/or TensorFlow
Familiarity with machine learning experimentation workflows
Confident English skills, especially for reading and writing scientific papers
Independent, reliable, and well-structured working style
Ideally, initial experience with meta-learning, few-shot learning, or medical machine learning, plus a GitHub, Kaggle, or similar portfolio showcasing previous ML projects

We Offer

Be you at IU: Support and empowerment to achieve personal and professional goals.
Work flexibly: Freedom to organize your work and integrate studies into your everyday life.
Take your knowledge to a new level: Free further trainings and language courses.
Make your journey sustainable: DeutschlandTicket subsidized to less than 9 euros.
Feel the difference: A corporate culture that promotes diversity, individuality, teamwork, and growth.
33 days to rest: 30 flexible vacation days, plus extra days off for your birthday, Christmas Eve, and New Year's Eve.

IU International University of Applied Science (IU) is Germany's largest university of applied science and an outstanding Great Place to Work®. As an Edutech company, we rely on state-of-the-art technology and data-driven approaches. AI-driven voice assistants and other GPT systems are part of our daily work. Over 4,000 employees are dedicated to making a difference.

Sounds like the perfect job for you? Apply now! Simple, fast, and without a cover letter.

For further questions, please contact Dr. rer. nat. Heinke Hihn at heinke.hihn@iu.org.

Please note that, for data protection reasons, we are not allowed to process email applications.

Actions speak louder than words: We cherish our „Culture of Everyone" and would like to take this opportunity to empathize that we do not tolerate discrimination towards any race, gender, religion, age, sexual orientation or disability. We welcome you as you are and look forward to nurturing our diverse community at the IU!

Working Student Machine Learning for Personalized Pain Assessment (m/w/d)