University of Stavanger

Department of Electrical Engineering and Computer Science

The University of Stavanger (UiS) has about 10,700 students and 1,560 employees. The University is located in the third largest urban region in Norway, with a dynamic labor market and exciting cultural and leisure activities. We are the only Norwegian member of the European Consortium of Innovative Universities. The university has high ambitions. We will be a driving force in the development of knowledge in the region, and an international research university with an emphasis on innovation. Together with our staff and students, we will challenge the well-known and explore the unknown.

Department of Electrical Engineering and Computer Science is part of the Faculty of Science and Technology. The department carries out research within data, electricity and electronics, and offers bachelor programs in electrical- and computer engineering, master programs in computer science and cybernetics/signal processing, and a PhD program in information technology. The master program in computer science is an international program and is taught in english. There are currently 40 employees, including research fellows and postdocs, and 520 students at the departement.

 

Research fellow in "Smart Technologies"

 The University of Stavanger invites applications for a doctorate scholarship in “Smart Technologies” at Department of Computer Science and Electrical Engineering.

This is a trainee position that will give promising researchers an opportunity for academic development leading to a doctoral degree.

Appointment is for three years with research duties. The position is vacant from January 2018 or by appointment.

This project is in the area of machine learning and deep learning with applications to text/news mining, tracking and summarizing real-time events and social media. The goal is to develop machine learning and deep neural models for generating holistic summaries of multi-source events for smart technology applications.

The event data can be from variety sources such as news, social media as well as city monitoring sensors such as traffic, weather forecast and pollution monitoring etc. This massive-scale data is only beneficial when application-specific actionable knowledge is extracted from them. For example, summarizing people’s reactions on the topics related to search and rescue during natural disasters along with correlated traffic and weather situation may guide the emergency services in smart cities to manage the distribution of resources and supplies more effectively.

Deep Neural Networks (DNNs) have recently been very successful for performing several difficult learning tasks with high precision for applications in several domains such as computer vision, natural language processing and machine translation etc. Although, DNNs work well when large-scale labelled training data is available, their application to generate target-specific holistic event summaries has never been tried before. Using DNNs to learn from input sequences in the form of event streams to general summary sequences as output is a challenging open problem.

The position is funded by Norwegian Ministry of Education and Research.

Applicants must have a strong academic background with a five-year degree (master + bachelor) within Computer Science, or in a related study, preferably recently, or possess corresponding qualifications, which could provide a basis for successfully completing a doctorate. Both the grade for the master’s thesis and the weighted average grade of the master’s degree must individually be equivalent to or better than a ‘B’.

In evaluating the applicants, emphasis will be placed on their potential for research in the field.

The appointee must be able to work independently and as a member of a team, be creative and innovative.

The research fellow must have a good command of both oral and written English.

The resulting PhD degree will qualify for research and teaching positions at University level.

The appointee will be based at the University of Stavanger, with the exception of a stay abroad at a relevant center of research. 

The research fellow is salaried according to the State Salary Code, l.pl 17.515, code 1017, LR 20, ltr. 50 of NOK 436 900 per annum.

The position provides for automatic membership in the Norwegian Public Service Pension Fund, which guarantees favorable retirement benefits. Members may also apply for home investment loans at favorable interest rates.

Project description and further information about the position can be obtained from Vinay Setty, email: vinay.j.setty@uis.no or from Tom Ryen, telephone: +47 5183 2029, email: tom.ryen@uis.no 

Information about the appointment procedures can be obtained from Anne Karin Rafos, telephone: +47 5183 1711, email: anne.k.rafos@uis.no

The University is committed to a policy of equal opportunity in its employment practices. The University currently employs few female research fellows within this academic field and women are therefore particularly encouraged to apply.

Please register your application in an electronic form on jobbnorge.no. Relevant education and experience must be registered on the form. Certificates/diplomas, research motivation letter, CV, references, list of publications and other documentation that you consider relevant, should be submitted as attachments to the application as separate files. If the attachments exceed 30 MB altogether, they will have to be compressed before uploading.

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About this job

  • Deadline
    Sunday, November 5, 2017
  • Employer
    University of Stavanger
  • Website
  • Municipality
    Stavanger
  • Place of service
    Ullandhaug
  • Jobbnorge ID
    143191
  • Internal ID
    30075844
  • Scope
    Fulltime
  • Duration
    Fixed Term

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

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