Welcome to the Career section of the Hertie Institute for AI in Brain Health! 

 

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 intramural funding programs: Financial support for outstanding PhD students and young female scientists. 

  • Mentoring programs:  Experienced mentors accompany our young talents on their career path.
     
  • Career development: Support in the planning and development of their academic career, including workshops on topics such as publication strategies and scientific communication.
     
  • 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. The International Max Planck Research School offers our doctoral students access to first-class research and training. The GTC/IMPRS also runs a doctoral program with supplementary neuroscience and soft skills training. 

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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” at the University of Tübingen: Together we develop innovative methods and applications in the field of machine learning. 

  • 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. 

  • 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 global 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. At Hertie AI, we harness these strengths to advance the early detection and prevention of neurological diseases, positively impacting global health.

  • We are also committed to promoting diversity and 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!

Postdoctoral Research Fellow

We value applicants who are passionate about conducting impactful, interdisciplinary research and are eager to contribute to the growing field of AI-driven neuroscience.

We are looking for motivated and intellectually curious scientists with a strong background in machine learning, ideally with expertise in control theory, optimal control, or reinforcement learning (RL). Candidates should either have experience working with neuroscientific recordings (e.g., electrophysiology, fMRI) or demonstrate a genuine interest and openness to engaging with such data.

Applicants should be enthusiastic about working with diverse data modalities and driven by a desire to integrate these modalities to advance diagnostics and treatments in neurology and psychiatry.

Potential research directions include:
- Advancing interpretability in AI models that infer dynamical systems from time series data
- Developing multi-modal control-theoretic AI approaches for causal intervention
- Uncovering generative and causal mechanisms in neural recordings to identify novel biomarkers

We value individuals who thrive in interdisciplinary environments and are passionate about impactful research at the intersection of machine learning and healthcare.

Link to application: https://jobs.medizin.uni-tuebingen.de/Job/6309/Postdoctoral-Research-Fellow