PostDoc position - AI in Healthcare and Medicine

02.08.2024, Wissenschaftliches Personal

We are recruiting a post-doc for a number of projects focusing on (1) foundational AI models that integrate multimodal patient data (imaging, sensing, omics, clinical, lifestyle, and environmental inromation), (2) combining AI models with biophysical and physiological models and domain-specific clinical knowledge to enable more accurate and interpretable modelling and understanding of health & disease, (3) developing reliable & privacy-preserving AI methods that are secure, fair and responsible.

The Institute for Artificial Intelligence in Medicine, directed by Professor Daniel Rueckert, focuses on AI and ML approaches for medicine and healthcare (www.aim-lab.io). Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including:

• AI for medical imaging applications ranging from image reconstruction to analysis and interpretation
• AI for the early detection, prediction and diagnosis of diseases as well as for the identification of new biomarkers and targets for therapy
• Safe, robust and interpretable AI approaches as well as privacy-preserving AI approaches.
  

We have particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development, to improve the diagnosis and stratification of patients with dementia, stroke and traumatic brain injury as well as for the comprehensive diagnosis and management of patients with cardiovascular disease and cancer.

We are based in the School of Medicine and Health at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the School of Computation, Information and Technology at the Campus Garching. Our lab is affiliated with several machine learning initiatives in Munich, including the Munich Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute (MDSI ).

Qualifications

• A PhD in Computer Science or related disciplines
• Strong theoretical and practical background in machine learning, computer vision or medical imaging
• Publications in machine learning, computer vision or image analysis applied to medical problems (CVPR, ICCV, NeurIPS, MICCAI or IPMI)
• First supervision experience
• Extensive programming experience with Python and Pytorch
• Strong analytical and problem-solving skills
• Excellent communication & interdisciplinary skills
• Willingness to participate in science coordination of MCML (i.e. organisation of workshop or seminar series)
• Fluency in English (written and spoken)

Our offer

We offer a full-time position as academic staff with the opportunity to conduct independent research. The employment will be limited for up to three years. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

How to apply

Please send your application documents (CV, transcripts, and a two-page research statement, two references) in one pdf document to [email protected] (subject: Post-Doc 2024 MCML) by 21.08.2024.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Do not hesitate to contact Dr. Simone Gehrer for any questions you may have.