The Institute of Computer Science at the University of Innsbruck, Austria seeks for excellent PhD students to carry out research in Cloud, Fog and Edge computing.
You are enthusiastic about developing and investigating innovative research ideas and systems within the discipline of distributed systems? You have a master’s or equivalent degree in computer science with excellent performance? You are a highly skilled Java or C/C++programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Cloud computing and virtualization techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written English skills, good ability to write scientific publications)?
Successful candidates will join a dynamic, international and world-wide highly regarded research team. As fully funded PhD students they will investigate novel Cloud, Edge and Fog techniques that are built based on Java and modern virtualization methods. The particular research topics of interest include
for Cloud, Fog and Edge infrastructures.
The research of these PhD positions will be conducted as part of the ASKALON Cloud environment (http://dps.uibk.ac.at/cloud2/). Our PhD students are given the opportunity to work with some of the most advanced Cloud, Fog and Edge infrastructures in Europe and gain interdisciplinary expertise by participating in national and international (EU funded H2020) projects. Note that the working and study language as well as the entire PhD course and research program are held in English only. There is no need to learn German for these positions.
The University of Innsbruck (UIBK):
UIBK is a global Top-200 university with a long history in scientific computing. Distributed scientific computing is a primary research area at UIBK. Besides numerous funded research programs in the area of Clouds and Grids, in 2010 an international doctoral school in computational interdisciplinary modelling (FWF Austrian Science Fund – Doctoral Program) has been established where highly qualified international PhD students are trained in modelling, simulation, numerical mathematics and techniques for parallel and distributed computing. Apart from interdisciplinary, an innovative teaching concept combined with strong international networking are key to this program. UIBK has been involved in a substantial number of national and international Cloud computing projects including several FP5, FP6, FP7, and H2020 projects.
Numerous application development environments, programming paradigm and tools have been created by various groups at UIBK to simplify the effective use of HPC and Cloud architectures as the basis for the next generation of performance-oriented and energy-aware applications. Among others, the tool set includes the ENTICE tool set (http://www.entice-project.eu) as well as the ASKALON Cloud environment (http://www.askalon.org).
Candidates should submit their application as soon as possible but no later than April 30, 2019.
All documents must be submitted in English. The documents must be merged into a single PDF file and sent to email@example.com (subject line: Full-time PhD Position in Cloud computing). For additional files such as theses and publications please add a link in the submitted pdf to a cloud repository and make it accessible. The candidate will receive an e-mail confirming receipt of the application.
Application Process and Interview:
Please direct questions to:
Prof. Dr. Thomas Fahringer
Institute of Computer Science, University of Innsbruck
Technikerstr. 21a, A-6020 Innsbruck, Austria
|Title||PhD Positions in Cloud, Fog and Edge Computing|
|Job location||Innrain 52, 6020 Innsbruck|
|Published||Januar 24, 2019|
|Application deadline||April 30, 2019|
|Job type||PhD/ Doktorand/in  |
|Fields||Informationswissenschaften,   Algorithmen,   Computerarchitektur,   Computer-Kommunikation (Netzwerke),   Computergrafik,   Datenstrukturen,   Datenbanken,   Mensch-Computer-Interaktion,   Betriebssysteme,    and 4 more. Programmiersprachen,   Softwareentwicklung,   Wissenschaftliches Rechnen,   Big Data  |