Your profile
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 programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge or Cloud computing and machine learning 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)?
Our offer
Successful candidates will join a dynamic, international and world-wide highly regarded research team. As fully funded PhD students they will investigate novel AI-driven Cloud and Edge techniques that are built based on Java, Python, and machine learning technologies. The particular research topics of interest include
• application development
• AI-enabled orchestration and usage of services,
• data streams, data management and data pipelines
• scalable runtime systems
• resource management,
• scheduling and optimization
for Cloud and Edge infrastructures.
The research of these PhD positions will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity to work with some of the most advanced Cloud and Edge infrastructures in Europe and gain interdisciplinary expertise by participating in national and international (EU funded Horizon Europe) 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.
Preferred Skills
Basic Computer Science
• Distributed systems (Cloud, Edge, IoT)
• Machine learning
• Scheduling and optimization algorithms
• Data streams, data management and data pipelines
• software engineering
Expert programmer
• Java
• at least one other programming language
Practical experience
• Docker
• Terraform
• Ansible
• git and GitHub
• experience with cloud platforms, e.g. AWS
• cloud providers, e.g. AWS, Google Cloud, Microsfot Azure
• Key-value stores, e.g. NATS, Reddis, mongoDB
The University of Innsbruck (UIBK)
Founded in 1669 with several Nobel Prize winners, today the University of Innsbruck is the largest educational institution in Western Austria ranked as an international top-200 University in Computer Science. UIBK has a long history in distributed systems, and has been involved in a substantial number of national and international distributed systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We are currently investigating the cloud/fog/edge continuum which is changing from a pure elastic provisioning of virtual resources to a transparent and adaptive hosting environment that fully realizes the “everything as a service” provisioning concept, from centralized cloud to the edge and from network and computing infrastructure up to the application layer.
Innsbruck and its Environment
The City of Innsbruck, which hosted the Olympic winter 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.
Your application
Candidates should submit their application as soon as possible.
Application documents
• Motivation letter (Why does your expertise and vision fit the profile of the open PhD position? Refer to all required and preferred skills)
• Full CV including at least 2 references
• Copy of BSc and MSc degrees
• Transcripts for all study programs
All documents must be submitted in English. The documents must be merged into a single zip file and sent to thomas.fahringer@uibk.ac.at (subject line: Full-time PhD Position in Cloud and Edge computing). For additional files such as theses and publications please add a link to a cloud repository and make it accessible. The candidate will receive an e-mail confirming receipt of the application.
Application Process and Interview
• Interviews will take place in stages as soon as possible, perhaps via zoom.
• Applicants are encouraged to apply immediately as the position will be filled upon finding the right candidate.
• We reserve the right to hold applications on file for potential future job openings.
Please direct questions to
Prof. Dr. Thomas Fahringer
Institute of Computer Science, University of Innsbruck
Technikerstr. 21a, A-6020 Innsbruck, Austria
Email: Thomas.Fahringer@uibk.ac.at
URL: https://dps.uibk.ac.at