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Job 18988ad788a5c6af

LecturerApplications Closed

Prof. Jim Torresen

Unknown Organization
University of Oslo, Norway
Apply by Aug 18, 2024

Application deadline

Aug 18, 2024

Job location

Job location

Prof. Jim Torresen

Geocoding

University of Oslo, Norway

Geocoding is still running and results will appear soon.

Source: legacy

Quick Information

Application Deadline

Aug 18, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

Prof. Jim Torresen

Geocoding

University of Oslo, Norway

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

The Department of Informatics at the University of Oslo, Norway is looking for candidates to fill two permanent positions as Associate Professors in Machine Learning. The positions can be affiliated to or interact with the Robotics and Intelligent Systems (ROBIN) group at the University. Candidates with a background in artificial intelligence/machine learning related to robotics or embedded systems are encouraged to apply. The candidates will be evaluated with respect to two different profiles: 1. Associate Professor in Ethical Considerations in Machine Learning: For this position, we are looking for a candidate with a research background in machine learning including applications and a track record in analysing aspects of machine learning methodology related to ethical considerations. 2. Associate Professor in Machine Learning: This position is expected to be offered to a candidate with a strong research background in machine learning including applications. Please note that this position is announced in Norwegian and with a requirement for candidates to have fluent oral and written communication skills in both English and a Scandinavian language.

Requirements

  • Applicants must have a degree equivalent to a Norwegian PhD in a relevant area for the positions. Candidates must have a research background in machine learning (ML) as outlined above
  • including applications of ML to at least one of the research areas mentioned in the announcement. A promising publication record is required. Candidates must have international publications in acknowledged publication channels. The assessment of publications will emphasise originality
  • quality
  • and scope. Research output from the last 5 years will be given weight. Candidates must have prior teaching experience within ML
  • associated application areas or computer science and have a commitment to engage in undergraduate and graduate education and in mentoring and advising master and doctoral students. Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio.
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