The Hertie Institute for AI in Brain Health improves early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence.
Career at Hertie AI
Hertie AI offers first-class training for doctoral students and young scientists who are interested in the interface of artificial intelligence and neuroscience. Our program is designed to nurture young talent and provide them with the necessary skills and knowledge to succeed in research and science. We offer comprehensive support through individual mentoring broad access to workshops and seminars and regular events on current topics in AI and neuroscience.
Training and Support
We offer special support measures for early career researchers, including financial support for outstanding PhD students and young female scientists through intramural funding programs.
- A structured doctoral training progam: The Graduate Training Centre of Neuroscience (GTC) & the International Max Planck Research Schools provide a markedly broad spectrum of opportunities for neuroscience training and research under the guidance of leading neuroscientists. Offering our doctoral students access to first-class research and training with supplementary neuroscience and soft skills training.
- Career development: Support in the planning and development of their academic career, including workshops on topics such as publication strategies and scientific communication. Free acess to the Qualification Programs at the "Graduate Academy" University of Tübingen and “The Academy for Education and Personnel Development” (ABiP) University Hospital Tübingen.
Mentoring programs: Experienced mentors accompany our young talents on their career path.
Network and Collaboration
We are proud of our close collaboration with leading research institutions and clusters of excellence in the field of neuroscience and machine learning. Our network allows access to a broad network of renown international and national experts.
The strong local Neuroscience and Machine Learning Ecosystem in Tübingen offers the unique opportunity to meet with top level collaborateurs easily.
The Cluster of Excellence “Machine Learning for Science”: The aim of this cluster is to enable machine learning to take a central role in all aspects of scientific discovery and to understand how such a transformation will impact the scientific approach as a whole.
Tübingen AI Center: As one of the German German AI competence centers, we work closely with the Tübingen AI Center to advance the latest developments in AI research.
Tübingen Neuro Campus: Hertie AI is part of the Tübingen Neuro Campus (TNC) which connects more than 100 active research groups in Tübingen to ensure the optimal use of Tübingens potential with respect to research, education and application.
Medical Faculty of the University of Tübingen: Our collaboration with the Faculty of Medicine enables us to research and develop clinical applications of AI.
Living internationality
At Hertie AI, we attach great importance to internationality and diversity. Internationality is at the core of our work. Our diverse team consists of talented scientists from around the globe, bringing a wide range of perspectives and approaches to our research.
We collaborate with international partners and institutions to leverage the latest advancements in AI and neuroscience. These partnerships enhance our research and ensure we stay at the forefront of scientific progress.
The diversity of our team offers numerous benefits for our research. Different cultural backgrounds and experiences foster creative thinking and innovative solutions. We believe that diverse teams make better decisions and solve problems more effectively.
We are also committed to promoting equality within our team. We believe that an inclusive environment where everyone is valued and respected leads to better science and a more supportive workplace.
Open Positions
Department of Machine Learning for Clinical Neuroscience
The Department Prof. Dr. Kerstin Ritter is currently recruiting PhD candidates.
We develop advanced machine and deep learning models to analyze diverse clinical data, including neuroimaging, psychometric, clinical, smartphone, and omics datasets. While focusing on methodological challenges (explainability, robustness, multimodal data integration, causality etc.), the main goal is to enhance early diagnosis, predict disease progression, and personalize treatment for neurological and psychiatric diseases in diverse clinical settings. We seek motivated candidates with strong machine learning skills who are eager to work on real-world medical challenges. Experience with complex medical data—whether imaging, time-series, or tabular—and current machine learning methods like CNNs and transformers is highly valued.
We are looking forward to hearing from you via hertieai(at)medizin.uni-tuebingen.de !