PhD Research Fellow position on Intelligent Dynamic Energy SystemsArbeidsgiverUniversitetet i OsloStedGunnar Randers vei 19, 2007 KjellerAbout the positionPosition as PhD Research Fellow in is available at the in the area of:● Numerical modeling of Dynamic Energy Systems The purpose of this fellowship is research training leading to the successful completion of a PhD degree. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.Starting date is as soon as possible.The fellowship period is 3 years.A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.Video MNKnowledge development in a changing world - Science and technology towards 2030.Job descriptionThe chosen PhD research fellow will be part of the IDES (Intelligent Dynamic Energy Systems) project. IDES is a collaboration between the Institute for Energy Technology (IFE), The Norwegian Defense Research Establishment (FFI) and The Department of Technology Systems (ITS) at the University of Oslo; all located at Kjeller, outside Oslo.Energy systems are currently designed to bring energy to end-users in the most cost-efficient and clean way. Generally, they consist of a series of subsystems that include energy production, transportation/storage, supply, and utilization, as well as procedures to obtain the best results out of the system. Energy systems can be complex, with many of their components exhibiting highly dynamic behavior. One common cause for this behavior is the unpredict-ability of both the energy consumption and the production stability. This is clearly observed in the case of variable renewable energy sources, such as solar power or wind power, which are intermittent and can be hard to predict. Because of this, forecasting is an important part of any fine-tuned energy system model.Another cause for the complexity of energy systems is the different time scales in which the components of the system work. This is seen, for example, when considering strategies for the coupling with renewable energy generators with a conversion or storage unit, such as those used in the hydrogen energy chain. All in all, each of the components of an energy system make its modeling and the modeling of its dynamics a big challenge. The IDES project will employ three PhD fellows that will work on the modeling of energy systems components, control strategies and forecasting, respectively. All three PhD candidates will work mostly independently on their specific topic, but they will also be required to work as a team and combine their work to describe specific scenarios. The IDES project will include a case study based on hydrogen technologies, including production using renewable energy, storage, refueling and conversion. Note that two PhD candidates have already been employed and will focus on the control of the dynamic energy systems and the development of methods for high performance short-term forecasting of energy supply and demand, respectively. The work realized by these two PhD fellows will be combined with a variation of the generic numerical model for a dynamic energy system developed by the PhD fellow sought in this announcement.Expected Work tasks:The PhD research work offered in this announcement includes the following topics and tasks:• Build generic knowledge on highly dynamic and integrated renewable based energy systems, including energy storage systems. This will include knowledge about production, storage, and utilization of hydrogen as fuel and the technologies associated• Build knowledge on how to numerically model intelligent dynamic energy systems and their individual components. This will include the combination of models written in different codes under one umbrella and the re-strictions imposed by multiple time scales and uncertainties regarding energy input, production, and consumption• Develop generic and computationally efficient numerical models that can be used to tailor a wide range of specific cases. These models will have enough flexibility to accept inputs from the other two PhD work packages within the IDES project• Dissemination through scientific publicationsQualification requirementsThe Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.Master’s degree or equivalent in a relevant field such as Computer Science, Machine Learning, Cybernetics, Autonomous Systems, Energy Systems, Robotics, Statistics, Physics, Mathematics or similarForeign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational systemFluent oral and written communication skills in EnglishThe PhD candidate must be eligible to obtain a security clearance according to the Norwegian National Security Act (Lov om Nasjonal Sikkerhet, a.k.a. “Sikkerhetsloven”), at a level that satisfies the research institute partners of the project, FFI and IFE, i.e., preferably being a citizen of Norway or a NATO country. Desired qualificationsThe sought PhD candidate would preferably have one or more of the following qualifications:• Good programming skills in languages such as Python, C/C++, and/or similar• Education, training or experience with system modeling and system modeling methods• A good publication track record• Work experience from the military sector or the energy sectorGrade requirements:The norm is as follows:The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational systemThe average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational systemThe Master’s thesis must have the grade B or better in the Norwegian educa-tional systemEnglish requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: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: Personal skillsAbility to take initiative and come up with new ideas to solve theoretical and practical problemsAbility to work independently as well as in a teamGood communication skillsWe offerSalary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)Attractive and a generous pension agreement Vibrant international academic environmentTight connections to FFI and IFE, two nationally leading research institutes within their fieldsOslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activitiesHow to applyThe application must include:Cover letter - statement of motivation and research interestsCV (summarizing education, positions and academic work - scientific publications)Copies of the original Bachelor and Master’s degree diploma and transcripts of recordsDocumentation of English proficiency if applicableList of publications and academic work that the applicant wishes to be considered by the evaluation committeeNames and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English or a Scandinavian language.Interviews with the best qualified candidates will be arranged.Formal regulationsPlease see the and 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 , aiming to secure rights to research results a.o. Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.Contact informationFor further information about the position please contact: Øystein Ulleberg, Associated Professor ITS, Mobile: +47 995 86 453, email: Isabel Llamas-Jansa, Researcher, Hydrogen Technology Department, IFE, email: For questions regarding Jobbnorge, please contact:Olga Holmlund, HR Adviser, e-mail: Om arbeidsgiverenArbeidsgiverUniversitetet i OsloHjemmesideThe 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 University of Oslo (UiO) is expanding the activity at Campus Kjeller to strengthen our education, research, and innovation in technology for a sustainable future. UiO is a well-ranked research university where the Department of Technology Systems at Kjeller (ITS) is focused on applied research in sustainable energy, autonomous systems, space, and security. At Kjeller, ITS is co-located with the Norwegian Defense Research Establishment (FFI) and the Institute for Energy Technology (IFE), which both offer rich opportunities for collaboration. ITS also has a range of interdisciplinary research collaborations that include the UiO Blindern Campus and Oslo Science City, as well as many other national and international institutions and industries.ITS offers several master level programmes, alone and jointly with other departments: Renewable energy systems, Cybernetics and autonomous systems, Robotics and intelligent systems, and Information security. ITS also hosts the Centre for Space Sensors and Systems (CENSSS), which incorporates operation of an instrument on the NASA Perseverance rover on Mars. A new master program in Space systems is in the planning stage. The department currently has 9 permanent scientific staff, approximately 35 adjunct staff from the research institutes at Kjeller and from industry, as well as about 20 PhD candidates.This position is part of an ongoing expansion of the UiO activity at Campus Kjeller. Campus Kjeller is located 20 km northeast of Oslo, between the city center and Oslo Airport. It is a 20 minutes commute with public transportation from Oslo city center to the campus. Om stillingenStillingstittel:PhD Research Fellow position on Intelligent Dynamic Energy SystemsAntall stillinger:1AnsettelsesformEngasjementHeltid/deltidHeltidSektorOffentlig