CURRENT OPENINGS
Find open positions below, join our team and see what makes working at the Department of Information Technology such a great experience!
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University assistant predoctoral (all genders welcome) (in German: Universitätsassistent:in)
The University of Klagenfurt, with approximately 1,500 employees and over 12,000 students, is located in the Alps-Adriatic region and consistently achieves excellent placements in rankings. The motto “per aspera ad astra” underscores our firm commitment to the pursuit of excellence in all research, teaching, and university management activities. The principles of equality, diversity, health, sustainability, and compatibility of work and family life serve as the foundation for our work at the university.
The University of Klagenfurt is pleased to announce the following open position at the Department of Information Technology at the Faculty of Technical Sciences with an expected starting date of November 4, 2024:
University assistant predoctoral (all genders welcome) (in German: Universitätsassistent:in)
within the Ada Lovelace Programme (project title: Streaming of Holographic Content and its Impact on the Quality of Experience).
Level of employment: 100 % (40 hours/week)
Minimum salary: € 50,103.20 per annum (gross); Classification according to collective agreement: B1
Contract duration: 4 years
Application deadline: by September 11, 2024
Reference code: 348/24
More information about the open position, requirements, desired skills and how to apply can be found here:
Exciting PhD Opportunity in Distributed Edge AI at SAL!
We’re seeking a passionate researcher for a PhD role in “Efficient Algorithms and Accelerator Architectures for Distributed Edge AI Systems”. This unique position offers the chance to work under the esteemed supervision of Prof. Radu Prodan (AAU Klagenfurt) and Prof. Marcel Baunach (TU Graz), with my guidance at SAL.
https://www.linkedin.com/feed/update/urn:li:activity:7155106482257068032/
CRYSTALLINE PhD position - Efficient Algorithms and Accelerator Architectures for Distributed Edge-AI Systems (f/m/d)
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