FUNDING OPPORTUNITIES FOR DOCTORAL STUDY
INSTITUTE OF COMPUTER SCIENCE, UNIVERSITY OF INNSBRUCK, AUSTRIA
The Distributed and Parallel Systems (DPS) group at the Institute for Computer Science, University of Innsbruck, Austria, invites applications for funded doctoral students in CLOUD COMPUTING.
The applicants must hold a master or equivalent degree in computer science or computer engineering and are expected to contribute to research in the context of the H2020-funded project ENTICE.
The DPS group focuses on simplifying the effective use of heterogeneous multiprocessor architectures and geographically distributed resources (including Cloud infrastructures), which will provide the basis for the next generation of Internet-enabled performance-oriented applications.
Candidates with good background in distributed and parallel computing and interested in one of the following research areas are encouraged to apply:
- virtualization technology
- scheduling and optimisation
- runtime environments
- dynamic resource management
- energy efficiency
- Quality of Service (QoS) provisioning
- Service Level Agreements (SLA) and business models
- Big Data
The entire doctoral program at the University of Innsbruck, including all graduate courses, is in English. There is no need to learn German.
Applications can be submitted any time until the position is filled.
There is no deadline.
The city of Innsbruck, which hosted the Winter Olympic Games twice, is located in the beautiful surroundings of the Tyrolean Alps. The combination of the Alpine environment and the urban life in this historically grown town provides a high quality of living.
The University of Innsbruck has a long tradition dating back to the 16th century, and, with seven schools (theology, law, economics, social sciences, medicine, humanities, natural sciences, civil engineering and architecture), it offers a wide spectrum of research and teaching activities and interesting opportunities for interdisciplinary collaboration.
Please direct questions and your application to: