Postdoc or Junior Group Leader: “Machine Learning in [Bio]Medicine”

Medical University of Vienna
Institute for Artificial Intelligence
Austria Vienna
www.meduniwien.ac.at/ai/de/index.php

Description

A full PDF version of this job posting is available from the following URL: www.medical-epigenomics.org/files/Postdoc_Machine_Learning_in_BioMedicine_Dec_2022.pdf

We are recruiting an ambitious scientist who wants to advance their career in machine learning and establish a cutting-edge re-search program in machine learning applied to precision medicine or high-throughput biology. 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). 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 underlying human diseases, with future perspectives to identify the key molecular mechanisms in each individual patient and devise personalized 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, focusing on interpretable deep learning, causal modeling, fed-erated machine learning, and time series analysis; (ii) proof-of-concept applications in biology and medicine, including personal-ized medicine and systems biology; (iii) dissemination and impact through sustainable clinical applications, contribution to inter-national consortia, creation of startup companies, and a commitment to research-centric teaching and public outreach. The suc-cessful candidate will contribute creatively and proactively to one or more of these directions.


Qualifications

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 60,000 to EUR 65,000 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.


Start date

To be determined

How to Apply

Please send your application to sec-ai@meduniwien.ac.at. The application e-mail should include a cover letter, CV, and academic transcripts, ideally combined into a single PDF document. All applications received by 5 February 2023 will be considered. Start dates are very flexible.