PhD Research Fellowships in Energy Informatics,
2 positions

Two PhD Research fellows are available at Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway.

The fellowships are for a period of 3 years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date preferably no later than 01.02.2018.


Project description

The two research fellows will be working in the project SmartNEM (“Smart Community Neighborhood – driven by energy informatics”) funded by the Research Council of Norway. SmartNEM is a joint project with University of Stavanger, Norway.

The project will employ a total of seven PhD scholars of which three will be employed by University of Oslo UiO). One of the PhD scholars supported by the SmartNEM project will be supervised in collaboration with the Faculty of Computer Sciences at the Østfold University College in Halden and the Norwegian Centre of Expertise Smart Energy Markets (NCE Smart).

An industrial advisory board with members including Statnett (the Norwegian TSO), Lyse Energy, DNV-GL and the NCE Smart cluster will offer industrial guidance to the PhD scholars.

The vision of the research is to exploit state-of-the-art ICT methods, tools and techniques for the future sustainable energy systems. We have particular interest in the following technologies for efficient and secure energy systems: fog computing, machine/deep learning, data analytics, blockchain and software defined principles.

We will develop new models and algorithms to provide the power grid operators with intelligent energy management with privacy preservation in local regions.


We have defined the following topics for the two PhD fellows:


Topic 1

Secure and privacy-preserved system for smart home and neighborhood. We will identify the new cyber security and privacy challenges in the smart neighborhood. Then, we will propose new solutions to defend against cyber attacks. Blockchain can be a potential technology to ensure secure peer-to-peer energy exchange in the local neighborhood.


Topic 2

Machine learning and deep learning for energy forecasting. Precise forecasting is very important for the stability of the future energy systems. We will study predictive analytics techniques for power stability, including regression, neural networks and other machine learning approaches for real-time and historical analytics.

In addition, the renewable energy forecasting will be an important problem in this topic. This PhD project will be done in collaboration with Østfold University College and Smart Innovation Norway in Halden, Norway.


Please indicate in the application which of the positions you would like to be considered for, and in priority order if more than one.


Requirements and qualifications

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and are expected to be in the upper segment of their class with respect to academic credentials.

Applicants must hold a Master’s degree or equivalent in computer science or electrical engineering, or control engineering with excellent results. Good knowledge in programming and mathematics is preferable. Applicants must also be able to demonstrate interest in scientific research. The evaluation also considers personal drive and organizational skills.

For the PhD positions, the purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information, see:

A good command of English is required.

Doctoral degree: PhD in Mathematics and Natural Sciences

Doctoral degree and PhD


UiO offers:
  • Salary NOK 436 900 – 490 900 per year, depending on qualifications and seniority.
  • Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.


The application must include:
  • Application letter
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of educational certificates, transcript of records and letters of recommendation
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.


Formal regulations:

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Apply for this job

Contact information:

Professor Frank Eliassen, Department of Informatics, UiO,

Professor Yan Zhang, Department of Informatics, UiO,

For questions about the recruitment system, contact HR-Officer Helene Jansen, +47 22857196,

Deadline: November 15, 2017
About Smart Innovation Norway

Smart Innovation Norway AS, established in Halden in 2003, has led the NCE Smart Energy Markets business cluster since 2009. Since 2003, the company has initiated or participated in over 20 research and innovation projects (R&I) including 5 EU projects with a total budget of more than 450 million NOK.

The cluster boasts a number of IT companies and academic environments with some of Norway’s leading expertise within Big Data and digital technologies, which now are being used in smart energy. The technology, which is generic, and expert competence have huge potential for transference to other industries and business clusters.