Tenure-track assistant professor for AI/ML research, with a EUR 1.6 million competitive startup grant from the Vienna Science and Technology Fund (dedicated additional support is earmarked for female candidates)
Währinger Straße 25a
Excellent employee benefits package; the successful candidate will be nominated for a competitive startup grant by the Vienna Science and Technology Fund (https://wwtf.at/funding/programmes/vrg/index.php?…).
We are recruiting a tenure-track assistant professor who will establish a cutting-edge research program in machine learning / artificial intelligence research. 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. In addition, the successful candidate will be nominated for a competitive startup grant by the Vienna Science and Technology Fund.
A full PDF version of this job posting is available from the following URL: https://www.medical-epigenomics.org/files/MedUni_…
We are looking for candidates with strong expertise in deep learning methodology and applications, and 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 researchers. A typical background would be a PhD and/or postdoctoral research in machine learning, computer science, statistics, bioinformatics, or another quantitative field, ideally combining methodologically and applied research. This call focuses on candidates who want to start their first independent research group, typically within the age bracket of ERC Starting grant eligibility (up to seven years post PhD, with extensions for childcare and medical leave). The position does not require any undergraduate teaching but does provide opportunities for graduate-level teaching and curriculum development.
How to Apply
Please send your application by e-mail to [email protected]. The application should include: cover letter; curriculum vitae; list of publication; annotated list of five key publications (with download links) with a brief statement about their relevance; summary 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 https://tinyurl.com/yj4x27tr for additional details.