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

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

To strengthen and complement our research portfolio, the Hertie AI is seeking to recruit  

Two early career research group leaders (f/m/d) 

who have recently finished their PhD (<3 years) at the interface of machine learning, neuroscience and clinical applications.  We are looking for curious, creative individuals who want to pursue an inspiring research vision based on their track-record of demonstrating the clinical potential of machine learning techniques for better understanding diseases of the nervous system and improving brain health. Potential research topics include but are not limited to: 

  • AI-based analysis of data from wearables, smartphones and other devices for early diagnostics and monitoring therapy success 

  • Machine learning tools for uncovering the genetic and cellular basis of neurological and psychiatric diseases, including AI-enhanced simulations  

  • Use of large-language models in clinical neuroscience 

We offer an exciting and supportive environment with access to state-of-the-art compute facilities, an initial funding package for 3 years including funding for a PhD student and mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). 

To apply, please upload a CV (max. 2 pages), a list of publications (max. 2 pages) and a succinct research vision (1 page) as a single pdf via this link: https://jobs.medizin.uni-tuebingen.de/Login/5160. 

We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States), severely handicapped persons with equal qualifications are given preferential consideration. Since the University of Tübingen aims to increase the proportion of women among its academic staff, women are strongly encouraged to apply. Interview expenses are not covered. Please note the applicable vaccination regulations.  

Application deadline: 8 November 2024. 
Questions can be addressed to hertieai@medizin.uni-tuebingen.de  

Department of Machine Learning for Clinical Neuroscience

The Department Prof. Dr. Kerstin Ritter is currently recruiting PhD candidates and Postdocs. 

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. 

Application deadline: 8 November 2024. 
Questions can be addressed to hertieai@medizin.uni-tuebingen.de

We are looking forward to hearing from you!

Department of Data Science

The Department of Prof. Dr. Philipp Berens and the Research Group of Dr. Dmitry Kobak are currently recruiting PhD candidates. 

We analyze large and complex data sets in neuroscience and ophthalmology to advance our understanding of the healthy eye and brain and how they are affected by degenerative diseases. We believe that data holds the key to answering many questions about how the healthy eye and brain works and how diseases impact its function, how they can be detected early and how their time course can be predicted.  We are the interface that brings together data with domain knowledge and the most suitable algorithm to distill insight into scientific or clinical questions. We seek curious, creative and motivated candidates with strong quantitative skills in machine learning, neural modeling and related topics  to work on real-world medical challenges, uncover the intracies of neural computations or develop new algorithms for to extract knowledge from data.

We are looking forward to hearing from you!