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Job 18ab15201fe6bdef

FacultyApplications Closed

N/A

Unknown Organization
Vienna
Apply by Oct 1, 2024

Application deadline

Oct 1, 2024

Job location

Job location

N/A

Geocoding

Vienna

Geocoding is still running and results will appear soon.

Source: legacy

Quick Information

Application Deadline

Oct 1, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

N/A

Geocoding

Vienna

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

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 European 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).

Requirements

  • We are looking for candidates with strong expertise in deep learning methodology & applications and the 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 some postdoctoral research in machine learning
  • computer science
  • statistics
  • bioinformatics or another quantitative field
  • ideally combining methodologically and applied research. We are open to early-stage candidates who want to start their first independent research group
  • and to established group leaders who are looking for new challenges (e.g.
  • moving closer to applications in medicine or biology). Responsibilities and support will be commensurate with experience and level of seniority. The position does not require any undergraduate teaching but does provide opportunities to 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 international environment.
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