[CogSci] [Job] Scientific Coordinator Data Science @ University of Vienna
Info datascience
info.datascience at univie.ac.at
Fri Feb 7 05:46:15 PST 2025
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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