Financial and Actuarial Mathematics, TU Wien, Austria TU Wien FAM


University of Salzburg (AT)

Fulltime (40h/week) PhD Position in Dependence Modeling

The Department for Artificial Intelligence and Human Interfaces (AIHI) seeks to fill a full-time 3 year PhD position.

The successful candidate will become part of a very active research group in dependence modeling, will contribute to the basic research project ReDim: Quantifying Dependence via Dimension Reduction funded by the Austrian Science Fund (FWF) and collaborate in applied projects of the interdisciplinary IDA Lab Salzburg (see He/she will be conducting his/her research under the supervision of Dr. Sebastian Fuchs and Univ.-Prof. Dr. Wolfgang Trutschnig.

Minimum gross monthly salary: (Salary group B1): € 3,058.60 (paid 14 times per year), with relevant work experience determining the assignment to a particular salary grade.
Duration of employment: 36 month
Extent of employment: 40 hours per week
Hours of employment: to be agreed
Place of work: Department of Artificial Intelligence and Human Interfaces at Paris Lodron University of Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria.

Job Description: Basic and applied research in the field of probability theory/statistics/machine learning with a focus on Dependence Modeling. Independent research activity (basic research with applications, particularly in finance and insurance), including the writing and publishing of scientific research articles in international peer-review journals and active contribution in applied projects of the IDA Lab Salzburg

Profile: The applicants should have completed their master/diploma degree in mathematics or statistics focussing on probability theory/statistics and be experienced R-users.

Welcome additional qualifications: Excellent academic achievement; solid understanding in mathematical statistics and basics of machine learning; basic knowledge of dependence modeling; non-university project experience; excellent command of written and spoken English

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 Sebastian Fuchs,, and to Wolfgang Trutschnig,, no later than October 23, 2022 (first come first serve). Your application should include the following documents: CV, certificates and a one-page letter of motivation.
Information on the position will be provided by Dr. Sebastian Fuchs either per telephone at +43 662 8044 5331 or by email at

We look forward to receiving your application!

Bei der Bewerbung bitte auf die FAM-jobs Seite verweisen.