[CogSci] [Job] Scientific Coordinator Data Science @ University of Vienna

[Info datascience]

To whom it may concern,

We would appreciate it if you could spread our job advertisement in your 
channel.

Thank you and best,

Team Data Science @ Uni Vienna

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Scientific Coordinator Data Science Post-Doc [f/m/d]

Job vacancy starting: 1 April 2025
Working hours: 40.00
Classification CBA: §48 VwGr. B1 lit. b (postdoc)
Limited contract for 39 months.

​Application deadline: 7 March 2025

Job ID: 3567

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!

Your personal sphere of play:

The research network Data Science @ Uni Vienna is looking for a highly 
motivated Postdoc/Scientific Coordinator. We are offering an excellent 
working environment in an interdisciplinary team. Data Science @ Uni 
Vienna is a research network that presents a hub on all activities in 
data science at the University of Vienna. It represents the vast field 
of data science in its full breadth, offering world class expertise in 
computer science, mathematics, statistics, as well as applications in 
economics, medicine, industry 4.0, social sciences, natural sciences, 
medicine, digital humanities, and legal tech.

Your future tasks:

The primary duty of this position is to foster collaboration between the 
research network and partners in the real world of data science. This 
could be through partnerships and projects with NGOs, governments or 
companies. The position will provide the opportunity to strategize about 
how to build these bridges between society and the exciting data science 
research happening at the University of Vienna.
The opportunity to collaborate with partners from diverse academic 
fields offers outstanding potential for your research and research 
administration. You will be part of fascinating data science projects 
offering the possibility to supervise students, publish the results at 
leading international outlets as well the creation of new structures for 
cooperation and to exchange ideas with international and 
interdisciplinary cooperation partners.

Duties include:

  	* Participation in the development of the research network Data 
Science @ Uni Vienna, especially for the new Masters programs Business 
Analytics, Data Science and Digital Humanities
  	* Participation in data science research
  	* International publishing and presentation activities
  	* Participation in the supervision of PhD students
  	* Project application and external fundraising
  	* Holding classes due to extent regulations of wage agreement
  	* Supervision of students; examination activities
  	* Participation in the administration of Data Science @ Uni Vienna 
(e.g. organization of workshops)
  	* Possible research foci include but are not limited to: machine 
learning, data mining, visual data analysis, mathematical foundations of 
data science, scalable methods for massive data or applications of data 
science, e.g. in physics, life sciences, economics, social sciences or 
the humanities
  	* Possibility to prepare and finalize a habilitation

This is part of your personality:

  	* Completed doctoral/PhD studies in computer science, mathematics or 
statistics or other areas with a strong focus on data science, business 
analytics, or digital humanities
  	* Strong publication record
  	* Excellent English language skills (C1)
  	* Strong ability to work in teams
  	* Perseverance and ability to get things done
  	* High motivation to publish at the top-level publication outlets of 
the corresponding field
  	* High motivation to raise third party funding
  	* Strong interest in interdisciplinary research
  	* Leadership abilities in supervising master and PhD students
  	* Organizational skills and commitment to management and 
administrative tasks
  	* Experience in external fundraising
  	* Experience in leading and coordinating projects
  	* Experience with interdisciplinary projects
  	* Experience in organizing workshops
  	* Teaching experience
  	* Knowledge in university structures and processes
  	* Didactic skills / experience in e-learning
  	* Team player and high social/communicative skills

What we offer:

  	* 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 monthly salary of EUR 
4,932.90 (14 times a year) increases if we can credit professional 
experience.
  	* Equal opportunities for all: We welcome every additional/new 
personality to the team!

It is that easy to apply:

  	* With your scientific curriculum vitae / letter of intent
  	* With your list of publications
  	* With your summary of research interests (max. 1 p.)
  	* Doctoral Degree
  	* Contact details of persons who could provide reference letters 
(names of 3 referees)
  	* Via our job portal / Apply now-button
  	* Apply here: 
https://jobs.univie.ac.at/job/Scientific-Coordinator-Data-Science-Post-Doc/1167525401/

If you have any content question, please contact:

Torsten Möller torsten.moeller at univie.ac.at

We look forward to new personalities in our team!

University of Vienna. Space for personalities. Since 1365.

The University of Vienna has an anti-discriminatory employment policy 
and attaches great importance to equal opportunities, the advancement of 
women [1] and diversity [2]. 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.

Data protection [3]

Links:
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[1] https://gleichbehandlung.univie.ac.at/en/
[2] https://personalwesen.univie.ac.at/en/culture-equality/diversity/
[3] 
https://backend.univie.ac.at/fileadmin/user_upload/d_personalwesen/Jobs_Recruiting/Dokumente/Universitaet_Wien_-_DSE-Succes-Factors__230523__EN.pdf
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