At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 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 ...
49 Faculty of Social Sciences
Job vacancy starting: 08/01/2026 | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc)
Limited contract until: 07/31/2028
Job ID: 5826
Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together!
The Senior Scientist contributes to infrastructure, research and teaching in the field of computational communication science (CCS). The focus is on computational methods, especially the creation and maintenance of local server environments, scrapers and other computational tools, software packages, knowledge- and data spaces. The Senior Scientist will be part of the Computational Communication Science Lab (CCL) and will assume the role of a support and help-desk for social scientists using advanced methods. The position is initially limited to two years with the possibility to be made permanent.
The Senior Scientist performs the following tasks, among others:
Maintaining a state-of-the-art knowledge base on text, image and multimodal analysis, network analysis, computational modeling and simulatio
- n
Acting as advanced methods help desk for the CC- L
Setting up and maintaining local server environments
Setting up and maintaining scrapers and other computational tool- s
Maintaining state-of-the-art knowledge base on access options to social media platform data, including expertise in applications through the DS- A
Setting up and maintaining shared data spaces for large-scale text, image and simulation dat- a
Teaching in CCS method- s
Co-supervision of PhD and Master thesis involving complex computational methodolog- y
(Supporting) writing and submission of grant proposal- s
PhD in the Social Sciences, preferably Communication Scienc
- e
Excellent publications in CC- S
Advanced skills in a range of CCS methodology, including but not limited to text, image and multimodal analysis, network analysis, simulation- s
Experience with third- party funded project- s
Supervision experienc- e
Very good knowledge of Englis- h
Experience in teaching CCS method- s
Work-life balance: Our employees enjoy flexible 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.
Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year for senior scientists postdoctoral) increases, if we can credit professional experience. The position is initially limited to two years with the option to be made permanent.
Equal opportunities for all: We welcome every additional/new personality to the team!
With your scientific curriculum vitae / letter of inten
- t
With your list of publication- s
With your summary of research interests (max. 1 p.- )
Doctoral Degree
Contact details of persons who could provide reference letter- s
Via our job portal/ Apply now - butto- n
Hajo Boomgaarden
[email protected]
Annie Waldherr
[email protected]
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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.
Data protection
Application deadline: 06/22/2026
