Connectionists: Tenure Track Assistant Professor Position in Deep Learning Methods & Applications, Medical University of Vienna

[Georg Dorffner]

  Tenure-track Assistant Professor in Deep Learning Methods & Applications

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 Euro-
pean 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 candidates who are already established group 
leaders (~ERC Consolidator Grant).


    The Goal


Machine learning is transforming medicine, for example by enabling 
physicians to incorporate vast amounts of data and knowledge into eachof 
their clinical decisions. Machine learning also advances our 
understanding of the biology that underlies human diseases, with future 
perspectives to identify molecular disease mechanisms in each individual 
patient and to devise personalized therapies. Researchers at the 
MedicalUniversity of Vienna, together with the CeMM Research Center for 
Molecular Medicine and the Austrian Academy of Sciences, are working 
toestablish an ambitious research program focusing on “Machine Learning 
in Biology and Medicine”, with three pillars: (i) methodological 
researchin machine learning, focusing on interpretable deep learning, 
causal modeling, federated machine learning, and time series analysis; 
(ii) proof-of-concept applications in biology and medicine, including 
personalized medicine and systems biology; (iii) dissemination and 
impact throughsustainable clinical applications, contribution to 
international consortia, creation of startup companies, and a commitment 
to research-centricteaching 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 with strong expertise in deep learning 
methodology & applications and the ambition to lead an academic 
researchgroup 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 some 
postdoctoralresearch in machine learning, computer science, statistics, 
bioinformatics or another quantitative field, ideally combining 
methodologically andapplied research. We are open to early-stage 
candidates who want to start their first independent research group, and 
to established groupleaders who are looking for new challenges (e.g., 
moving closer to applications in medicine or biology). Responsibilities 
and support will becommensurate with experience and level of seniority. 
The position does not require any undergraduate teaching but does 
provide opportunitiesto contribute to graduate-level teaching and 
curriculum development. Prior experience in teaching machine learning is 
therefore a plus. German-language skills are not required 
(graduate-level teaching is in English), and both the city and the 
university provide a highly internationalenvironment. Vienna as a city 
and the university as an employer provide a family-friendly environment 
with essentially free kindergarten anddaycare for children aged 1 to 6, 
a high-quality public school system, and many international schools. The 
university provides a tenure-trackposition with a highly competitive 
personal salary, an excellent employee benefits package, and a startup 
package / core funding.


    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 
medicalfaculty of the University of Vienna, and it has operated 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 
MedicalUniversity has a dedicated Department for Medical Data Science, 
with research in statistics, medical informatics, complexity sciences, 
and otherareas. In this department, the Institute of Artificial 
Intelligence (AI Institute) seeks to advance biomedical research and 
clinical practice throughmethods development, applications, and teaching 
in machine learning and artificial intelligence. The AI Institute is 
directed by Christoph Bock(https://tinyurl.com/chrbock), who is 
Professor of Medical Informatics at the Medical University of Vienna and 
Principal Investigator at theCeMM 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 SchrödingerPrize). 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), who coordinates a major EU project that 
implements computational methods in clinical practice. The Medical 
University of Vienna hosts a rapidly growingcluster of machine learning 
researchers in areas spanning radiology, dermatology, bioinformatics, 
and synthetic biology. Many researchers atthe Medical University of 
Vienna have successfully applied for European Research Council (ERC) and 
other high-profile grants (e.g., the AustrianExcellence Initiative), and 
extensive training and support is available in Vienna for researchers 
preparing such grant proposals.

Please send your application by e-mail 
tofaculty-recruiting5 at 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, summary of research and teachingactivities (~3-5 pages), 
concept of future research plans (~1-3 pages), and contact details of at 
least three references – if possible combinedinto a single PDF document 
attached to the e-mail. Please seehttps://tinyurl.com/4jvkmajhfor 
additional details.


All applications received by 1 October 2023 will be considered. Start 
dates are very flexible. Please address questions about the application 
toDalibor Mikic / Ana Mendes (sec-ai at meduniwien.ac.at) and scientific 
questions to Christoph Bock (christoph.bock at meduniwien.ac.at).
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230919/c8d755de/attachment.html>