Wissenschaftler*in KI in der Medizin (Wissenschaftliche/r Mitarbeiter/in)

About Fraunhofer-Gesellschaft

The Fraunhofer-Gesellschaft (www.fraunhofer.de) is one of the world's leading organizations for applied research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32,000 people from technology, science, administration, and IT. You know: Those who come to Fraunhofer want to and can make a difference. For themselves, for us, and for the markets of today and tomorrow.

Future. Together. Develop.

Role and Responsibilities

The Applied Machine Learning (AML) group in the Artificial Intelligence department is seeking a Scientist in the field of Machine Learning to strengthen scientific activities in the application area of medicine and health. Particularly in the context of research and development of new multimodal ML models. The AML working group constantly researches and develops innovative solutions that are used in current and future leading topics. Become part of our team and go on a research and innovation journey with us!

Here you will drive change:

• Analysis and pre-processing of various medical datasets, especially images and texts, as well as tabular and higher-dimensional data
• Testing, implementation, and benchmarking of new research methods
• Development of ML methods for solving application-oriented problems given multimodal data
• Participation in exciting projects with external partners and customers
• Writing scientific publications and supervising students
• Presentation of results at trade fairs, project meetings, and other occasions
• Support in the preparation of research proposals

Your qualifications:

• Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or similar fields of study
• Advanced knowledge in the field of Machine Learning, especially Deep Learning, LLM, and multimodal ML
• Relevant references of your previous scientific achievements in the field of medicine and health
• Experience with the development of competitive ML models for segmentation, classification, and regression problems with various data types, e.g., time series, images, or texts
• Fun and enjoyment in the (further) development of codebases, as well as the discovery of new datasets
• Experience and confidence in handling Python, Linux (Ubuntu), and Git in the terminal
• Teamwork, strong communication skills, and interest in interdisciplinary collaborations

What we offer:

• Attractive salary package according to TVöD with 30 days of vacation, pension plan (VBL), capital-forming benefits (VWL)
• Modern, excellently equipped workplace in the heart of Berlin
• Open and very cooperative working atmosphere in an international team
• Flexible working hours
• Home office options
• Extensive training, health, and sports activities
• Various employee discounts and subsidized BVG ticket
• Offers for families (parent-child office, emergency care, leisure activities)

The position is initially limited to 2 years. An extension is explicitly desired.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, worldview, disability, or sexual orientation and identity. Severely disabled people will be preferred in case of equal suitability. Our tasks are diverse and adaptable - for applicants with disabilities, we will find solutions together that optimally promote their abilities. The weekly working time is 39 hours.

With its focus on future-relevant key technologies and the utilization of results in business and industry, the Fraunhofer-Gesellschaft plays a central role in the innovation process. As a pioneer and impulse giver for innovative developments and scientific excellence, it helps shape our society and our future.

Ready for change? Then apply now and make a difference! Upon receipt of your online application, you will receive an automatic confirmation of receipt. We will then contact you as soon as possible and let you know how things will proceed.

Contact Person: Mr. Jackie Ma Email: jackie.ma@hhi.fraunhofer.de

Fraunhofer Institute for Nachrichtentechnik, Heinrich-Hertz-Institut HHI www.hhi.fraunhofer.de Reference Number: 81705 Application Deadline: 15.01.2026

Contact Person: Mr. Jackie Ma Email: jackie.ma@hhi.fraunhofer.de