Connectionists: PostDoc position: Machine Learning in [Bio]Medicine, Medical University of Vienna

[Georg Dorffner]

PostDoc or Junior Group Leader: Machine Learning in [Bio]Medicine

Medical University of Vienna
Institut für Artificial Intelligence
Vienna, Austria

We are recruiting an ambitious scientist who wants to pursue a career in 
machine learning and establish a leading research pro-gram with 
applications in precision medicine or high-throughput biology. The 
successful candidate will be based at the Institute of Artificial 
Intelligence at the Medical University of Vienna, with ample 
opportunities to integrate into the Austrian and European research 
landscape, including the European Lab for Learning and Intelligent 
Systems (ELLIS). This call is open to early-stage re-searchers who want 
to pursue cutting-edge research, and to more senior candidates seeking 
to establish an independent research group. A tenure-track option is 
available for exceptional candidates.

The Goal

Machine learning is transforming medicine, for example enabling 
physicians to incorporate vast amounts of data and knowledge into each 
of their clinical decisions. Machine learning also advances our 
understanding of the biology that underlies human dis-eases, with the 
future perspectives of identifying the key molecular mechanisms in each 
individual patient and devising personal-ized therapies. Researchers at 
the Medical University of Vienna, together with the CeMM Research Center 
for Molecular Medicine and the Austrian Academy of Sciences, are working 
to establish an ambitious research program focusing on “Machine Learning 
in [Bio]Medicine”, with three pillars: (i) methodological research in 
machine learning, e.g. focusing on interpretable deep learning, causal 
modeling, federated machine learning, and/or time series analysis; (ii) 
proof-of-concept applications in biology and medi-cine, including 
personalized medicine and systems biology; (iii) dissemination and 
impact through sustainable clinical applications, contribution to 
international consortia, creation of startup companies, and a commitment 
to research-centric teaching and public outreach. The successful 
candidate will contribute creatively and proactively to one or more of 
these directions.

The Candidate

We are looking for candidates who want to pursue cutting-edge research 
in the wider field of “Machine Learning in [Bio]Medicine”. A typical 
background would be a PhD in machine learning, computer science, 
statistics, bioinformatics or in an-other quantitative field, ideally 
combining methodologically and applied research (in any field). We are 
open to early-stage candi-dates who have recently completed their PhD or 
will do so within the next year – but also to candidates who have 
already collected initial postdoctoral research experience and are eager 
to proceed with their scientific career. The position includes ample 
opportu-nities for advancing a research career, developing academic 
leadership skills, engaging in international collaborations, and 
con-tributing to the advancement of medicine through computational 
research. The university provides an excellent employee benefits 
package. The expected starting salary is EUR 55,000 to EUR 60,000 per 
year (gross). Through the ELLIS network or other consortia, there is the 
option for a research stay abroad in a leading machine learning lab with 
complementary expertise.

The Host Institution

The Medical University of Vienna is Europe’s largest medical school and 
one of the oldest in the world. It was founded in 1365 as the medical 
faculty of the University of Vienna, and it operates as an autonomous 
university since 2004. Physicians at the Medical University treat 
~95,000 patients per year as inpatients and ~500,000 as outpatients, 
creating major opportunities for data-driven research. The Medical 
University has a dedicated data science department (CeMSIIS), with 
research in statistics, medical informat-ics, complexity sciences, and 
other areas. In this department, the Institute of Artificial 
Intelligence (AI Institute) seeks to advance biomedical research and 
clinical practice through methods development, applications, and 
teaching in machine learning and arti-ficial intelligence. The AI 
Institute is directed by Christoph Bock (https://tinyurl.com/chrbock), 
who is Professor of [Bio]Medical Informatics at the Medical University 
of Vienna and Principal Investigator at the CeMM Research Center for 
Molecular Medicine of the Austrian Academy of Sciences. He is a member 
of the Human Cell Atlas, fellow of ELLIS, and recipient of important 
research awards (Otto Hahn Medal, ERC Starting Grant, ERC Consolidator 
Grant, Overton Prize, Erwin Schrödinger Prize). The AI Institute 
currently hosts two additional group leaders and their research groups: 
Georg Dorffner (https://tinyurl.com/gdorffner), who is the vice 
president of the Austrian Society for Artificial Intelligence, and 
Matthias Samwald (https://tinyurl.com/samwald 
<https://tinyurl.com/samwald>), who coordi-nates a major EU project that 
implements computational methods in clinical practice. Moreover, the 
Medical University comprises a rapidly growing cluster of machine 
learning researchers in areas spanning radiology, dermatology, 
bioinformatics, and synthetic biology.

Please send your application to sec-ai(at)meduniwien.ac.at. The 
application e-mail should include a cover letter, CV, and academic 
transcripts, ideally combined into a single PDF document. Any 
application received by 9 October 2022 will be considered. Start dates 
are very flexible.
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