Scientific Coordinator Data Science [Post-Doc]: The University of Vienna is recruiting a highly motivated Post-doc/Scientific Coordinator for the Data Science @ Uni Vienna Research Network. This interdisciplinary research network bridges the fields of computer science, mathematics, statistics, and a wide range of application domains. The role presents an exciting opportunity to contribute to cutting-edge research, foster collaborations with external partners (NGOs, governments, industries), and support the development of new initiatives, including Master’s programs in Business Analytics, Data Science, and Digital Humanities.
Employer: University of Vienna
Designation: Post-Doctoral Researcher (Scientific Coordinator)
Key Details
| Category | Details/Information |
|---|---|
| Position | Scientific Coordinator Data Science (Post-Doc) |
| Job Start Date | April 1, 2025 (04/01/2025) |
| Job ID | 3567 |
| Contract Type | Fixed-Term Contract (until June 30, 2028) |
| Working Hours | Full-time (40 hours/week) |
| Salary | €4,932.90/month (14 payments per year, based on experience) |
| Application Deadline | March 7, 2025 (03/07/2025) |
| Workplace Location | University of Vienna, Vienna, Austria |
Research Areas
The position allows engagement in innovative and interdisciplinary projects. Research areas of focus may include (but are not limited to):
- Machine learning and artificial intelligence
- Data mining and scalable methods for massive data
- Visual data analysis and advanced statistical methods
- Mathematical foundations of data science
- Application of data science in various fields, including physics, life sciences, economics, humanities, and social sciences
Eligibility/Qualifications
To qualify for this position, applicants should meet the following criteria:
- Education: Completed Ph.D./Doctorate in computer science, mathematics, statistics, or related fields with a strong emphasis on data science, business analytics, or digital humanities
- Research Experience: Strong publication record in top-tier international journals/outlets
- Skills:
- Excellent command of English (C1 proficiency level)
- Experience in leading projects, coordinating teams, and supervising master’s or Ph.D. students
- Strong organizational, communication, and teamwork skills
- Motivation to secure external research funding and publishing in leading journals
- Experience with interdisciplinary research and teaching
Job Description
The Scientific Coordinator will play a leading role in building bridges between the Data Science Research Network @ Uni Vienna and real-world stakeholders, including NGOs, government agencies, and industries. Key responsibilities include:
- Fostering cross-disciplinary collaboration and partnerships
- Contributing to the development of new Master’s programs (e.g., Business Analytics, Data Science, Digital Humanities)
- Conducting data science research and publishing findings in top-tier journals
- Supervising students and participating in teaching
- Organizing workshops, conferences, and public events for knowledge exchange
- Securing external funding for new research projects
- Contributing to the operational administration and strategy of the Data Science @ Uni Vienna Research Network
This position also provides a unique opportunity for preparing and finalizing a habilitation.
What the University of Vienna Offers
- Flexible working hours with a potential for hybrid/remote work (as agreed upon)
- A dynamic, diverse, and inspiring international academic team
- Access to over 600 internal training courses, free of charge, for ongoing professional development
- A central workplace in Vienna with excellent public transport connections
- Equality of opportunity for all candidates; the university promotes diversity and strongly encourages women to apply
How to Apply
To apply for this position, submit the following documents through the University’s Job Portal:
- Scientific CV/Letter of Intent
- List of Publications
- Summary of Research Interests (max. 1 page)
- Copy of Doctoral Degree
- Contact details of 3 referees who can provide reference letters
For content-related questions, please contact Prof. Dr. Torsten Möller at torsten.moeller@univie.ac.at.
Application Deadline
March 7, 2025 (03/07/2025)
Join the University of Vienna and contribute to groundbreaking international research and academic excellence! Use your skills to help build connections between science and society while working in one of Europe’s leading academic environments.
