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University Assistant

vor 3 Monaten


Wien, Wien, Österreich Universität Wien Vollzeit
At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members.

These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching.

With us, you will also find space to unfold your potential. We are looking for a/an

University Assistant (praedoc) - Completion Contract

:

39 Faculty of Computer Science

Job vacancy starting: 06/01/2024 | Working hours: 30,00 | Classification

CBA:
-48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 11/30/2024

Job ID
:2283


Among the many good reasons to want 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 their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world.

Does this sound like you? Then join our accomplished team

Your personal sphere of influence

:


The Doctoral School Computer Science provides the option of performance-based contract extensions (6 months) to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna.

This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies.

The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science.


Your future tasks

:

You are actively involved in research, teaching & administration, which means:

  • Your main task is to complete and submit your dissertation.
  • You will meet regularly with your supervisors to prioritize your tasks and receive the necessary support to complete your dissertation successfully and on time.
  • You will participate in the activities and workshops of your institute and the Doctoral School.
  • You will participate in conferences and publish research results in peerreviewed journals.
  • You will support the teaching of the research group in the field of machine learning and the supervision of student projects.
  • You teach courses independently in accordance with the provisions of the collective agreement and supervise students.

This is part of your personality

:

  • Above average Master's degree or equivalent in a relevant field of study.
  • Excellent knowledge in the areas of Causal Machine Learning, Variational Methods in Machine Learning and Bayesian Learning (proven by publications or similar)
  • Outstanding academic achievements, especially first publication(s) in the field of causal machine learning
  • High level of motivation and commitment to successfully complete your doctoral studies within the timeframe foreseen
  • Cooperative, teamoriented and proactive behavior.
  • High level of written and oral communication skills
  • Excellent knowledge of English (C1)
  • Experience with the structures of the University of Vienna
  • Experience in teaching, especially in the field of machine learning, as well as independent supervision of student projects in computer science

What we offer

:

Work-life balance

:

Our employees enjoy flexible working hours and can partially work remotely.

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 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 3,578,80 (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 a cover letter that briefly describes your suitability and previous knowledge with regard to the call (max. 2 pages)
  • With your academic CV / letter of intent (including a description of your teaching experience)
  • With a summary of your research interests/dissertation concept (max. 10 pages) including a timetable plan for the completion of your dissertation
  • With a list of your previous publications (incl. publications)

If you have any questions, please contact

:

Sebastian Tschiatschek

We look forward to new personalities in our team

University of Vienna. Space for personalities. Since 1365.

:

Data protection

Application deadline

:

04/17/2024

Prae Doc