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PhD student position in Computing Science

Institutionen för datavetenskap

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before

2019-09-02

  • Type of employment Temporary position longer than 6 months
  • Extent 100%
  • Place Umeå

PhD student position in Computing Science, focusing on analytics-driven edge cloud automation

Umeå University, the Department of Computing Science, is seeking outstanding candidates for a PhD student position in Computer Science with focus on analytics-driven edge cloud automation. Deadline for application is August 19, 2019.

Project description
We invite candidates to apply for one PhD student position funded by Ericsson Research and the Umeå University Industrial Graduate School.

The project is focused on automatic and intelligent resource allocation in a distributed edge cloud, e.g., decision on where various components should be allocated, including developing a hierarchical distributed framework and algorithms for three core problems: (1) to based analytics on monitoring data identify problems to be resolved; (2) to determine how much capacity is needed and where it should be allocated, considering user mobility and usage variations; and (3) to make applications adaptable to load variations and resource availability.

The position is at the Department of Computing Science at Umeå University, Sweden. The position is aimed for graduate studies in Computing Science within Umeå University Industrial Doctoral School. The research is to be performed in the distributed systems research group in tight collaboration with Ericsson Research. (For further information, see www.cloudresearch.org).

Umeå University Industrial Doctoral School for research and innovation:
The Industrial Doctoral School (IDS) is a multidisciplinary research school where the projects are based on collaborations between Umeå University and external organizations. The PhD students in IDS form an interdisciplinary group that, in addition to each scientific specialization, is given a tailor-made course package providing a solid basis for future work within research and development. A PhD position in IDS also includes a three-month internship at the external organizations for each doctoral student.


Admission requirements
The general admission requirements for doctoral studies are an undergraduate degree and completed courses corresponding to at least 240 higher (ECTS) education credits, at least 60 ECTS credits of which were awarded in the second-cycle, or substantially equivalent knowledge otherwise acquired in Sweden or abroad.

To fulfill the specific entry requirements for doctoral studies in computing science the applicant is required to have completed courses at advanced level in computing science or another subject considered to be directly relevant for the specialization in question, equivalent to 60 ECTS credits.

Documented knowledge and a solid background in distributed systems or machine learning is expected. The research is to a large extent interdisciplinary, and a broad competence profile and experience from other relevant areas (such as control theory, discrete optimization, and statistical methods) is considered a merit.

Important personal qualities are, beside creativity and a curious mind, the ability to work both independently and in a group and experience in the scientific interaction with researchers from other disciplines and in other countries. Good skills in both spoken and written English are a requirement for the position.


Terms of employment
The position is aimed for PhD studies and research during four years, leading to a PhD exam. The doctoral student position is mainly devoted to postgraduate studies (at least 80% of the time), including to take part in the Umeå University Industrial Graduate School, but may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly (up to maximum five years). The employment will start as soon as possible, or as otherwise agreed.

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapt. 12, 2 §) and the decision regarding the position cannot be appealed.

Submitting your application
A complete application should contain the following documents:
- A cover letter including a description of your research interests, your reasons to apply for the position, and your contact information
- A curriculum vitae
- Copies of degree certificates
- Reprints / copies of Bachelors / Masters thesis, and other relevant publications, if any
- Contact information for three reference persons
- Documentation and description of other relevant experiences or competences, such as from software development and work in or with industry.


The application must be written in English or Swedish, and attached documents must be written in or translated to English or Swedish. Documents must be in Word or pdf format. Applications must be submitted electronically using the e-recruitment system of Umeå University, and be received no later than August 19, 2019. Log on to the system and apply via the button at the bottom of the web page.

Further information can be obtained from Professor Erik Elmroth, (email: elmroth@cs.umu.se ).


More about us
The Department of Computing Science is a dynamic environment with more than 100 employees representing more than ten countries worldwide. We conduct education and research on a broad range of topics in Computing Science. The focus of the research in the Distributed Systems group is (autonomous) resource and application management for different types of clouds and distributed systems.

We look forward to receiving your application!

Admission

According to agreement

Contact

Erik Elmroth

090-786 69 86

Registration number

AN 2.2.1-1012-19

Salary

Monthly

Union representative

SACO

090-786 53 65

SEKO

090-786 52 96

ST

090-786 54 31

Apply

before

2019-09-02

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment.