Financial and Actuarial Mathematics, TU Wien, Austria TU Wien FAM
 
2022-12-23 (gültig bis max. 2023-02-23)

University of Klagenfurt

The FWF funded doc.funds doctoral school Modeling - Analysis - Optimization of discrete, continuous, and stochastic systems is pleased to announce the following open position at the Department of Statistics at the Faculty of Technical Sciences with a preferably as soon as possible, but negotiable starting date.

1 PreDoc position in Stochastic Numerics (all genders welcome)

Level of employment: 75 % (30 hours/week)
Salary: € 2.293.92.- per month (gross), paid 14 times per year.
Limited to: the end of the project (presumable September 30th, 2024) with the possibility of an extension.

The doctoral school is embedded within the well-established doctoral program in mathematics at the University of Klagenfurt. It provides a vivid, friendly, and research-oriented environment. In our research we aim to solve mathematical problems by creating synergies from a multi-perspective view, combining the knowledge of several mathematical sub-disciplines. Further information on the doctoral program and the doc.funds doctoral school can be found here: http://www.math.aau.at/doctoralschool

Tasks and responsibilities:

  • Autonomous scientific work including the publication of research articles in the field stochastic numerics.
  • Active participation in the research activities of the doctoral school and at international conferences. The successful candidate is expected to start a PhD within the doctoral programme and the doc.funds doctoral school Modeling - Analysis - Optimization at the University of Klagenfurt.

Prerequisites for the appointment:

  • Master’s degree at a national or international university in mathematics or a related field. This requirement must be fulfilled two weeks before the starting date at the latest.
  • strong background in one or more of the following fields: stochastic processes, stochastic optimal control, stochastic differential equations.
  • An interest in multi-perspective research combining different mathematical sub-disciplines
  • Programming skills (e.g., Python, Matlab, R, SageMath, Maple, Mathematica, C/C++, ...)
  • Fluency in English

Additional desired qualifications:

  • Ability to work in a team
  • High communication and dissemination skills

The PhD student will be supervised by Michaela Szölgyenyi and co-supervised by one of our faculty members (of whom 45% are female), and the PhD student will have an international mentor.

Our offer:

The successful candidate will be employed at the Faculty of Technical Sciences, Department of Statistics. The position is a 75 % (30 hours/week) part-time position, limited until the project end (presumable September 30, 2024 with the possibility of an extension) (Uni-KV: B1, https://jobs.aau.at/en/faq/). The monthly gross salary is € 2.293.92.- paid 14 times per year. The starting date is negotiable.

The University of Klagenfurt also offers:

  • Personal and professional advanced training courses, management and career coaching, including bespoke training for women in science
  • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/
  • Diversity- and family-friendly university culture
  • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports

The application:

If you are interested in this position, please apply in English, providing the following documents:

  • Letter of application explaining the motivation and including a statement of interest in multi- perspective research combining different sub-disciplines
  • Curriculum vitae
  • Copies of degree certificates (Bachelor and Master)
  • Copies of official transcripts (Bachelor and Master) containing the list of all courses and grades
  • Master's thesis. If the thesis is not available, the candidate should provide an explanation.
  • A letter of reference by an experienced scientist. For confidentiality reasons, this letter must be sent directly by that scientist to mao.doctoralschool@aau.at. The application will not be considered before reception of the letter of reference.
  • If an applicant has not received the Master`s degree yet, the applicant should provide a declaration, written either by a supervisor or by the candidate themselves, on the feasibility of finishing the Master's degree two weeks before the starting date at latest.

We can only accept applications all necessary documents. An application will be possible until the position is filled. To apply, please send your application to mao.doctoralschool@aau.at

The principles of diversity, gender mainstreaming, healthiness, sustainability, and compatibility of family and career build the basis for the achievement of our goals. Hence, all our PhD students will have access to the university’s career development program, including a special offer for female students.

It is our declared goal to increase the proportion of women in scientific positions and therefore we encourage qualified women to apply for the position. In case of equivalent qualification, women are given preferential consideration.

People with disabilities or chronic diseases who fulfill the requirements are particularly encouraged to apply.

General information for applicants is available on https://www.aau.at/en/jobs/information. For further information, please contact the coordinator of the doctoral school, Univ.-Prof. Dr. Michaela Szölgyenyi (michaela.szoelgyenyi@aau.atmichaela.szoelgyenyi@aau.at).

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