Early-career research group leaders (f/m/d)

To strengthen and complement their research portfolio, Hertie AI is seeking to recruit two early-career research group leaders who have recently finished their PhD (<3 years) at the interface of machine learning, neuroscience, and clinical applications. They 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 

Hertie AI offers an exciting and supportive environment with access to state-of-the-art computing 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.

The company offers remuneration under 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: November 8,  2024. 
Questions can be addressed to hertieai@medizin.uni-tuebingen.de