Machine Learning Scientist in Medicine

• Analysis and preprocessing of various medical datasets, particularly images and texts, as well as tabular and higher-dimensional data
• Testing, implementation, and benchmarking of new research methods
• Development of machine learning approaches to solve application-oriented problems involving multimodal data
• Participation in exciting projects with external partners and clients
• Writing scientific publications and supervising students
• Presentation of results at trade fairs, project meetings, and other events
• Supporting the preparation of research proposals

What you contribute

• Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field
• Advanced knowledge in Machine Learning, particularly in Deep Learning, Large Language Models (LLMs), and Multimodal Machine Learning
• Relevant references or evidence of previous scientific achievements in the field of medicine and health
• Experience in developing competitive ML models for segmentation, classification, and regression tasks using various data types, e.g., time series, images, or text
• Enthusiasm and enjoyment in (further) developing codebases and discovering new datasets
• Experience and confidence in using Python, Linux (Ubuntu), and Git via the terminal
• Team spirit, strong communication skills, and an interest in interdisciplinary collaboration

• 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
• Opportunities for home office
• Extensive training, health, and sports offers
• Support for your desire to pursue a doctorate
• Various employee discounts and discounted BVG ticket
• Family offers (parent-child office, emergency care, leisure activities)

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

The weekly working time is 39 hours. This position is also available on a part-time basis. 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, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable - for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow. Future. Discover. Together. The Applied Machine Learning (AML) group within the Artificial Intelligence Department is seeking a scientist in the field of Machine Learning to strengthen its research activities in the application area of medicine and health, particularly in the research and development of new multimodal ML models. The AML research group continuously explores and develops innovative solutions that are applied in current and future key research topics. Become a part of our team and join us on our journey of research and innovation!