We are recruiting a tenure-track assistant professor who will establish a cutting-edge research program in deep learning methods & applications. The successful candidate will join the Institute of Artificial Intelligence at the Medical University of Vienna, with ample opportunities to integrate into the European research landscape, including the European Lab for Learning and Intelligent Systems (ELLIS) and European Health Data Space. This is a university-funded tenure-track position with startup package / core funding. The call is open to candidates seeking to establish their first independent group (~ERC Starting Grant) as well as to candi-dates who are already established group leaders (~ERC Consolidator Grant).
A full PDF version of this job posting is available from the following URL: www.medical-epigenomics.org/files/MedUni_Vienna_Assistant_Professor_Deep_Learning_July_2023.pdf
We are looking for candidates with strong expertise in deep learning methodology & applications and the ambition to lead an academic research group that will pursue world-class research in this area. The ideal candidates will have a strong publication record in methodological research (e.g., papers at leading machine learning conferences, journals, widely cited preprints) and a current or future interest in applying their expertise in medicine or biology, in collaboration with biomedical and clinical research-ers. A typical background would be a PhD and some postdoctoral research in machine learning, computer science, statistics, bioin-formatics or another quantitative field, ideally combining methodologically and applied research. We are open to early-stage can-didates who want to start their first independent research group, and to established group leaders who are looking for new chal-lenges (e.g., moving closer to applications in medicine or biology). Responsibilities and support will be commensurate with experi-ence and level of seniority. The position does not require any undergraduate teaching but does provide opportunities to contribute to graduate-level teaching and curriculum development. Prior experience in teaching machine learning is therefore a plus. Ger-man-language skills are not required (graduate-level teaching is in English), and both the city and the university provide a highly international environment. Vienna as a city and the university as an employer provide a family-friendly environment with essential-ly free kindergarten and daycare for children aged 1 to 6, a high-quality public school system, and many international schools. The university provides a tenure-track position with a highly competitive personal salary, an excellent employee benefits package, and a startup package / core funding.
Please send your application by e-mail to faculty-recruiting5@meduniwien.ac.at. The application should include: cover letter, curriculum vitae, list of publication, five key publications with download links and a brief statement about their relevance, sum-mary of research and teaching activities (~3-5 pages), concept of future research plans (~1-3 pages), and contact details of at least three references – if possible combined into a single PDF document attached to the e-mail. Please see tinyurl.com/4jvkmajh for additional details.
All applications received by 1 October 2023 will be considered. Start dates are very flexible. Please address questions about the application to Dalibor Mikic / Ana Mendes (sec-ai@meduniwien.ac.at) and scientific questions to Christoph Bock (christoph.bock@meduniwien.ac.at).