University professorship (W2) Data analysis and data fusion for new diagnostic imaging procedures
University Medical Center Göttingen (UMG)
Within the scope of its strategic planning, the University Medical Center Göttingen (UMG) aims to consistently advance its focal research areas neurosciences, cardiovascular medicine, and oncology by integrating approaches from both translational and systems medicine approaches.
The Georg August University of Göttingen together with the University Medical Center Göttingen (UMG) and the University of Applied Science and Arts (HAWK) have successfully obtained funding for additional professorships from the program "Digital Chairs for Lower Saxony" of the Ministry of Science and Culture in order to strengthen the Data Science Region Lower Saxony. The newly established Campus Institute Data Science (CIDAS), which the professorships will be adjunct to, is at the center of this strategic focus. The CIDAS is a central institution of the University of Göttingen and part of the Göttingen Campus and will work across methods and disciplines. The CIDAS aims to bring together all relevant areas of data science as well as research areas regarding the impact of digitalization on society. It combines the newest developments in methodology with cutting-edge international research in the strategic research fields of the location and aims to bundle activities in research, research-oriented teaching, and transfer across faculties as well as the whole campus.
The Department of Pathology at the University Medical Center Göttingen invites applications for a
Data analysis and data fusion for new diagnostic imaging procedures
(Pay grade W2)
Commencing as soon as possible. The position will be appointed permanently.
The focus will be on investigating the potential of applying different imaging data analysis methods also in pathological and/or radiological diagnostics as well as in contributing to the continued development of the focal research area oncology at the UMG. Among the methods are: the scientific exploration and application of image analysis procedures using machine learning, the fusion of different modalities (e.g., histologic procedures and radiologic imaging), three-dimensional reconstruction, etc. The application materials should therefore highlight a strong scientific emphasis on the analysis of imaging data, especially with regard to histology (pathology or anatomy), and hands-on experience in machine learning.
The incumbent will assume responsibilities in research and teaching exclusively. This includes being in charge of coordinating research activities in the areas of digital image analysis and machine learning at the Institute of Pathology and within the scope of cross-faculty and cross-institutional structures on campus. The responsibilities further entail the development of a dedicated research group, obtaining third-party funding, and involvement in teaching.
The UMG expects a junior professorship with a positive evaluation, habilitation or equal scientific achievement and pedagogical aptitude just as much as willingness to engage in academic self-administration.
Further requirements for the appointment of university professors are laid out in the current version of § 25 of the Higher Education Act of the State of Lower Saxony (Niedersächsisches Hochschulgesetz). The University Medical Center Göttingen holds the right of appointment.
Foreign applicants should feel especially encouraged to apply.
Part time work can be offered depending on individual circumstances.
The UMG strives to increase the number of women on its staff and therefore particularly encourages qualified women to apply. In case of applicants of equal qualifications, candidates with disabilities will be given preference.