The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences at the University of Oslo. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. The Department has near 950 students on bachelor level, near 450 master students, and over 180 PhD students. The overall staff of the Department is close to 250 employees, about 200 of these are full time positions. The full time scientific staff is 60, mostly Full/Associate Professors.
PhD Research Fellowships in Energy Informatics, 3 - 4 positions
Three (or four) PhD Research fellows are available at Department of Informatics.
The fellowships are for a period of 3 years. One fellowship can be extended to a period of 4 years of which 25% of the position will be allocated to compulsory duties such as teaching assistant. This requires that the successful candidate has excellent command of English and preferably a good knowledge of a Scandinavian language (Norwegian, Swedish, Danish). Otherwise also this fellowship will be for a period of 3 years, with no compulsory work.
Starting date preferably no later than 01.10.2017.
Two (or three) 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 additional fellow will be working in the “Energy Informatics” project funded internally by the Department of Informatics at University of Oslo. 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 (NCESmart). 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 the state-of-the-art ICT 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 for intelligent energy management with privacy preservation in local regions.
We have defined the following topics for the PhD fellows to be employed by the University of Oslo.
Topic 1: Fog computing for real time monitoring and distributed microgrid resilience. We will study the role of fog computing for the smart energy system; and understand on how fog computing can significantly improve the performance of the energy system.
Topic 2: 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 the cyber attacks. Blockchain can be a potential technology to ensure secure peer-to-peer energy exchange in the local neighborhood.
Topic 3: 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.
Topic 4: Control and optimization system to integrate local energy sources at homes, neighborhoods and community level into the grid. New models based on control theory, optimization theory or game theory will be built to understand the integration of renewable energy resources, and time-dependent power loads from neighborhoods.
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:
Pay grade: NOK 432 700 – 489 300 per year, depending on qualifications and seniority.
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.
In accordance with the University of Oslo’s equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.
UiO has an agreement for all employees, aiming to secure rights to research results.
Professor Frank Eliassen, Department of Informatics, UiO. email@example.com
Professor Yan Zhang, Department of Informatics, UiO. firstname.lastname@example.org
For questions about the recruitment system, contact HR-Officer Helene Jansen,
+47 22857196, email@example.com
- Søknadsfrist31. mai 2017
- ArbeidsgiverUniversity of Oslo
- Intern-ID2017/4862 - 1017
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