Postdoc Position Machine Learning OR Nonparametric Statistics at University of Salzburg AT

Fulltime (40h/week) 2+2 years Postdoc Position in Machine Learning OR Nonparametric Statistics University of Salzburg

The Department of Artificial Intelligence and Human Interfaces (AIHI) seeks to fill a full-time PhD-position.

The successful candidate will become part of a very active research group, will pursue basic and applied research and collaborate on applied projects (with companies or other university departments) of the interdisciplinary IDA Lab Salzburg
( Working on/completing the habilitation is appreciated and supported.

  • Minimum gross monthly salary: EUR 4.351,90 (paid 14 times per year, to increase in 2024), with relevant work experience determining the assignment to a particular salary grade.
  • Duration of employment: 2+2 years (extension of 2 years after positive evaluation after year two)
  • Starting date: As soon as possible
  • Extent of employment: 40 hours/week
  • Hours of employment: to be agreed
  • Job Description: Basic and applied research in the field of machine learning or nonparametric statistics. Independent research activity (basic and applied research), including the writing and publishing of research work in international peer-review journals and top-tier conferences and (pro)active contribution in applied projects of the IDA Lab Salzburg.
  • Profile: The applicants should have completed their PhD in mathematics/statistics/computer science.
  • Welcome additional qualifications: Excellent academic achievement; solid foundations of machine learning methods & theory and basic knowledge of nonparametric statistics or vice versa; non-university project experience; excellent command of written and spoken English; excellent coding skills in Python or R.
  • Personality: The successful candidate has a high level of responsibility and intrinsic motivation, a commitment to scientific research, is independent and reliable, willing to engage in further education and a team player.

Please submit your written application to Prof. Roland Kwitt ( AND to Prof. Wolfgang Trutschnig ( no later than November 05 2023 and include the following documents: CV, certificates and a onepage letter of motivation. Information on the position will be provided by email (Kwitt and Trutschnig).

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