The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an

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.
This position is limited to 39 months.

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 Humanitie

• sParticipation in data science researc
• hInternational publishing and presentation activitie
• sParticipation in the supervision of PhD student
• sProject application and external fundraisin
• gHolding classes due to extent regulations of wage agreemen
• tSupervision of students; examination activitie
• sParticipation 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 humanitie
• sPossibility to prepare and finalize a habilitatio
• n