The Department of Data Science (headed by Prof. Dr. Philipp Berens) is offering multiple positions for PhD candidates (75%, TV-L E13, m/f/d) in Machine learning for medical imaging, neurogenomics and neuronal modeling to start as soon as possible. The positions will be initially limited to three years with possible extension.
You are a motivated and enthusiastic person with a Master’s degree in computer science, machine learning, medical informatics, biomedical engineering or related fields, with an interest in developing machine learning techniques for medical imaging, neurogenomics or neuronal modeling in ophthalmology and retinal research. You are curious, have analytical thinking skills, and you communicate clearly in written and verbal settings, and enjoy working in a diverse and international team. You should have prior experience with machine learning and Python programming skills.
We form the founding department of the newly established Hertie Institute for AI in Brain Health and are interested in using machine learning and data science approaches to better understand the healthy and diseased eye and improve diagnostics of ophthalmological diseases. We are uniquely positioned at the intersection of the machine learning and medical research communities in Tübingen. As members of the Cluster of Excellence “Machine learning for Science” and the Tübingen AI center we are a part of the vibrant machine learning ecosystem in the Tübingen area. At the same time, being physically located at the University Hospital Tübingen, we foster strong clinical collaborations. Our group has diverse backgrounds and origins comprising more than 10 different nationalities.
How to apply
Applications should include a CV, your transcripts, and a motivation letter – let us know why you are excited about this opportunity. Members of underrepresented groups are particularly encouraged to apply – currently, we are a diverse team from many different countries and we are excited to receive your application! Please send your application as a single pdf to firstname.lastname@example.org . The application closes 30 September 2023, but applications will be continuously evaluated even before that date.
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