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University Assistant Predoctoral in Mathematical Statistics and Machine Learning

Employer
UNIVERSITY OF VIENNA
Location
Vienna (Landbezirke) (AT)
Closing date
1 Apr 2024

37 Faculty of Business, Economics and Statistics
Startdate: 15.04.2024 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: permanent
Reference no.: 1323

Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not given at other institutions. Does that sound like something for you? Welcome to our team!

Your working area:

The research group Statistical Machine Learning (https://smale.univie.ac.at/) at the Department of Statistics and Operations Research (https://isor.univie.ac.at/) is offering a PhD position in the area of Mathematical Statistics and Machine Learning. A small teaching load (1.5 hours starting in the 2nd year of the employment) is attached.

Your future tasks:

You actively participate in research, teaching and administration, which means:

  • In collaboration with your advisor you will develop and complete your own PhD-project in the area of mathematical statistics or the theory of machine learning.
  • We expect you to finalize your dissertation agreement (= project proposal) within 12-18 months and that you regularly participate in the PhD seminar.
  • You get acquainted with a recent research area, formulate new and relevant mathematical problems and solve them independently under the supervision of your PhD advisor.
  • You hold courses independently within the scope of the provisions of the collective bargaining agreement.
  • You take on administrative tasks in research and teaching.
  • You work on your own publications, academic articles and presentations.

This is part of your personality:

  • Completed Master's degree or diploma, in the field of statistics, mathematics or a closely related field (completed or about to be completed).
  • A strong background in mathematical statistics and probability theory.
  • Enthusiasm for abstract mathematical problems and strong tenacity and patience in solving them.
  • Active interaction and discussion with the colleagues from the research group and the department.
  • Programming skills.
  • Didactic competences / experience with e-learning.
  • Excellent command of written and spoken English (C1 Level).

What we offer:

The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible.

Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 3277,30 (on a full-time basis) increases if we can credit professional experience.

Equal opportunities for everyone: We look forward to diverse personalities in the team!

It is that easy to apply:

  • With your scientific curriculum vitae.
  • With a letter of intent outlining especially your previous experience with mathematical problem solving (max. 1 page).
  • With your summary of research interests (max. 1 page)
  • With contact details of at least two persons who agreed to provide reference letters upon request.
  • Transcripts and Master Degree  /  Diploma (if available).
  • Via our job portal/ Apply now -  button.

If you have any questions, please contact:

Lukas Steinberger

lukas.steinberger@univie.ac.at 

We look forward to new personalities in our team! 
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

​Application deadline: 04/01/2024 

Prae Doc

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