Postdoctoral stipend (2 years) in Autonomous Anomaly Detection in Future Cloud Computing Infrastructures

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Umeå University announces one stipend for postdoctoral research in autonomous anomaly detection in future cloud computing infrastructures. The stipend is part of a massive effort on autonomous systems for industry and society of the future, with eight postdoctoral stipends in eight separate subprojects. Welcome with your application!

The Department of Computing Science (www.cs.umu.se) is a dynamic department with about 100 employees from over twenty countries. We are providing research and education within a broad spectrum of areas, and offer education on basic, advanced, and PhD levels. The research is internationally well recognized and includes basic research, methods development, and software development, but also research and development within various application domains.

The currently announced stipend is associated with the research group in Distributed Systems, whose research primarily addresses autonomous management systems for cloud infrastructures and applications. The group includes about 20 people with 7 researchers and eight PhD students. The research is to a large extent funded by eternal resources, including The Swedish Research Council, H2020, and the Wallenberg Foundation. The research is frequently performed in collaboration with leading industrial partners like Google, IBM, Intel, Ericsson, SAP, and Red Hat. For a presentation of the research group, please see www.cloudresearch.org.

Project description
We are opening a postdoctoral stipend for research on autonomous identification of anomalies in future cloud infrastructures.

Future clouds, smart buildings, smart cities, etc will rely on an ICT infrastructure where telecom networks and small as well as large datacenter are unified into a single coherent infrastructure. This infrastructure will be managed by autonomous management systems that automatically allocate resources in the right amount, at the right location, and at the right time for each individual part of the application. In order to do this, it is crucial to understand the applications’ behavior. One need not only be able to identify when an application has a performance or functionality problem, but also to identify what is the bottleneck and underlying root cause of the problem. Them, the system should be able to plan how to mitigate the problem before performing any corrective actions.

This project is focused on the development of the methods to autonomously detect anomalies, to identify bottlenecks and their root causes, as well as to autonomously learn form the effect from actions performed. Scientific methods for performing this includes classical and deep machine learning, as well as logic based methods for reasoning and decision-making.

The project is part of a major effort including eight postdoctoral stipends in autonomous systems. For more information, see the following link.

Each stipend is for two years with a starting date to be negotiated. The stipend, provided by the Kempe Foundations, amounts to 300 000 SEK per year. The stipend is not subject to tax.

Requirements
A qualified applicant is required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, Computer Engineering, Telecommunication, or another subject of relevance for the project. The PhD degree shall not be more than three years old by the application deadline unless there are special reasons. The applicant should be strongly motivated and interested to develop new competencies, as well as to act in an international environment.

Documented knowledge and proven research experience in machine learning or cloud resource management systems is required. Good research merits and scientific publications in the area of the position are strongly meriting. International research experience is also a merit.

A successful candidate should be capable of performing cloud implementations of the above discussed methods, as well as producing scientific publications in English. Very good knowledge in the English language, both spoken and written, is required.

Application
The application, preferably written in English, should include:

  • An introductory letter summarizing your qualifications, research interests, and motivation for applying (max 2 pages)
  • CV with list of publications
  • Copies of PhD thesis and relevant publications
  • Copies of degree certificates
  • Name and contact information for two or three reference persons

Umeå university is an equal opportunity employer, therefore, we welcome female applicants in particular

Further information is provided by Prof. Erik Elmroth at erik.elmroth@umu.se.

Your complete application, marked FS 2.1.6-2279-16, should be sent electronically (in pdf-format) to medel@diarie.umu.se (provide the reference number on the email’s subject line). Application deadline is 2017-02-15.

We look forward to your application!


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