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<p>PostDoc or Junior Group Leader: Machine Learning in [Bio]Medicine
<br>
<br>
Medical University of Vienna
<br>
Institut für Artificial Intelligence
<br>
Vienna, Austria </p>
<p>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.</p>
<p> </p>
<p>The Goal</p>
<p>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.</p>
<p> </p>
<p>The Candidate</p>
<p>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.</p>
<p> </p>
<p>The Host Institution</p>
<p>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 (<a class="moz-txt-link-freetext" href="https://tinyurl.com/chrbock">https://tinyurl.com/chrbock</a>), 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
(<a class="moz-txt-link-freetext" href="https://tinyurl.com/gdorffner">https://tinyurl.com/gdorffner</a>), who is the vice president of the
Austrian Society for Artificial Intelligence, and Matthias Samwald
(<a href="https://tinyurl.com/samwald" target="_blank"
class="external-link moz-txt-link-freetext">https://tinyurl.com/samwald</a>),
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.</p>
<p> </p>
<p>Please send your application to s<a class="mail">ec-ai(at)meduniwien.ac.at</a>.
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.</p>
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