Postdoctoral Position in Medicine (Technical University of Munich)

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 office@aim.cit.tum.de (subject: Post-Doc 2024 MCML) by 21.08.2024. Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben. Kontakt: Do not hesitate to contact Dr. Simone Gehrer for any questions you may have. If you apply for this position please say you saw it on Medicinoxy

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 office@aim.cit.tum.de (subject: Post-Doc 2024 MCML) by 21.08.2024.

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

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

If you apply for this position please say you saw it on Medicinoxy

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