Scientific Project Assistant Postdoc

Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space to continuously strive for top international research and scientific excellence. At the same time, they enjoy support and liberties that are not a given at other institutions. Does that appeal to you? Then welcome to our team!

About the team:

The research group Scientific Computing, led by Prof. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms.
The selected candidate will participate in an international and interdisciplinary research project under the supervision of Asst. Prof. Atakan Aral.  The project aims to ensure seamless and reliable monitoring of critical infrastructures (e.g., facilities for water supply and electricity generation) through real-time and distributed processing of IoT sensor data. The project team will include doctoral and master’s students in our group, as well as international partners from the University of Sheffield, UK, and University College Dublin, Ireland.

Research Group: https://sc.cs.univie.ac.at/
Project Website: https://troci.holisun.com/

Your future tasks:

Active participation in research and administration, which means:

• You develop an independent research profile in the field of distributed systems.
• You get involved in the research and management of the EU project mentioned above.
• You supervise the research conducted by master’s and doctoral students.
• You engage with colleagues from adjacent fields and collaborate on interdisciplinary research.
• You publish internationally and give lectures.
• You apply for projects and raise third-party funds.

This is a purely research-oriented position with no teaching duties, unless the candidate specifically requests them, in which case additional compensation will be provided.

These are your qualifications: 

• You have completed doctoral/PhD studies in Computer Science or a closely related field, or you expect to complete them by 31.12.2024.
• You have established experience in distributed systems, ideally in the areas of the Internet of Things, Edge/Cloud Computing, Edge AI/Federated Learning, or Sensor Networks, with a focus on resource management, latency/performance optimization, fault tolerance, scalability, or energy efficiency/sustainability.
• You have research competence and initiative proven through international publications in reputable conferences and journals.
• You have excellent written and spoken English skills, demonstrated by high-quality academic writing and communication. (Our working language is English.)
• You are experienced in research management and leading project staff.
• You are a team player with strong 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 full-time salary of EUR 4,752.30 (14 times a year) with a fixed term of  2 years+ (depending on the start date) until 28.02.2027. Potential extension is possible based on performance and availability of funds.

Equal opportunities for everyone:  We look forward to diverse personalities in the team!

What you need to apply:

• Scientific curriculum vitae, including links to DBLP and/or Scholar profile
• List of publications and presentations
• Motivation letter, which summarizes your research interests/plans and demonstrates how you meet each of the required qualifications above with tangible outcomes
• Doctoral degree or confirmation of defense date
• Abstract of doctoral thesis
• Contact details of persons who can provide reference letters

You can apply via our job portal / Apply now – button