The Medical University of Vienna has committed itself to establishing a strong research program in digital medicine, contributing toward its goals of shaping the future of medicine with the three pillars of prevention, precision, and translation. To foster this strategic direction, MedUni Vienna will nominate and fully support a candidate for a generous grant scheme for starting group leaders in computer science launched by WWTF, the Vienna Science and Technology Fund. The successful candidate will establish his/her independent research group at MedUni Vienna and receive a tenure-track assistant professor position, with the goal and perspective to contributing visibly and sustainably to the development of digital medicine at MedUni Vienna.
Medical University of Vienna:
The Medical University of Vienna is one of the largest and leading academic medical centers in Europe. It is also a full university with 8,000 students and 5,500 employees, pursuing cutting-edge research in areas ranging from biology and medicine over statistics and computational methods to medical physics and technology. MedUni Vienna works closely with Europe’s largest hospital, the Vienna General Hospital (AKH) and with the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences. It maintains numerous collaborations with its neighboring universities and research institutes, including the University of Vienna (of which MedUni Vienna has been a part since 1365 and until becoming independent in 2004), the Technical University of Vienna, Institute of Science and Technology Austria (IST Austria), the Institute of Molecular Biotechnology (IMBA), the Research Institute of Molecular Pathology (IMP), and the Max F. Perutz Laboratories (which is jointly operated by the University of Vienna and MedUni Vienna). This collaborative network provides many opportunities for interdisciplinary research connecting deep learning techniques with areas such as imaging, genomics, molecular biology, and biomedical/translational research.
The Offer:
• MedUni Vienna is entitled and committed to nominate a candidate for the Vienna Research Group grant scheme by the WWTF, the Vienna Science and Technology Fund: www.wwtf.at/programmes/vienna_research_groups/
• The successful candidate will be endorsed and supported by MedUni Vienna with his/her application to this grant scheme. Candidates nominated by MedUni Vienna have been successful in previous rounds of this grant scheme.
• If the candidate is successful in his/her application to the Vienna Research Group grant scheme by the WWTF, he/she will receive a 5-year grant totaling up to EUR 1.6 million to establish a research group on Deep Learning Techniques at MedUni Vienna.
• MedUni Vienna offers a stimulating research environment, excellent facilities and support with recruiting staff. Moreover, a tenure-track position will be provided upon positive evaluation.
• The new research group will be embedded in an emerging research environment on digital medicine and machine learning comprising the Computational Imaging Research Lab (www.cir.meduniwien.ac.at/ Department of Biomedical Imaging and Image-guided Therapy) and the Medical Epigenomics Lab (www.medical-epigenomics.org/meg/ CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences).
• PhD in computer science or a related field (statistics, data science, physics, mathematics, bioinformatics, medical informatics, etc.)
• Relevant postdoctoral research (two to eight years) in the area of machine learning and its applications to biomedicine
• Excellent publication track record demonstrating skills and creativity with machine learning and deep learning techniques and their use in large-scale data analysis for biomedical research (including but not limited to imaging and genomics)
• Genuine interest in applications of deep learning techniques in the life sciences, including medical imaging, genomics, digital devices, and other areas relevant to digital medicine
• Experience and track record of developing scalable machine learning algorithms and translating them to open tools used in the community
• Currently (for the past 2 years) working outside of Austria to be eligible for the grant scheme
• Women are especially encouraged to apply
Applications should be sent in digital form to engelbert.feichtl@meduniwien.ac.at. The application should include a cover letter, detailed CV, list of publications, summary of open source software contributions, 5 selected publications (as PDF), a research statement/plan (3 pages), and the contact details of three scientists who are willing to write a letter of recommendation. Applications will be reviewed on a rolling basis. Any application received by 3 June 2018 will be considered. Start dates are flexible within the limits of the WWTF guidelines for the grant scheme.