PhD Candidate in “Renewable energy and physics-informed machine learning”
UiT The Arctic University of Norway
UiT is a multi-campus research univeristy in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.
Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.
The Department of Technology and Safety (ITS) at UiT the Arctic University of Norway is an interesting and exciting workplace with a focus on a good working environment for employees and a good learning environment for students. The department has an important role as a knowledge provider for the labor market in the region, through education, research and continuing education. Our students appreciate that the department works closely with the industry during the study program.Tromsø is known as an active city with many international cultural activities, such as a film and music festival, Tromsø International Film Festival and the Northern Lights Festival.
Tromsø has a great nature with abundant hiking opportunities during summer and winter, and a friendly and open international population.
The Department of Technology and Safety, has a PhD position vacant for applicants who wish to obtain the degree of Philosophiae Doctor (PhD). The position will be a part of the Arctic Center of Sustainable Energy (ARC) at UiT, and have collaboration within the Energy and Climate research group. Activities at the department take place in the new technology building located at Campus Tromsø. The advertised position has its workplace at Campus Tromsø. . The department offers education in the fields of nautical science, aviation, safety-/societal safety and environment and international preparedness. In addition, the department offers a Master's degree in Technology and Safety.
The appointment is for a period of four years. The fourth year, distributed as 25 % of each year, shall be used for teaching or other duties for the university. The position will be assigned teaching duties within the field of renewable energy, statistics, physics and/or machine learning.
The PhD position is for a fixed term, with the objective of completion of research training to the level of a doctoral degree. Admission to a PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD Candidate shall participate in the faculty’s organized research training, and the PhD project shall be completed during the period of employment. Information about the application process for admission to the PhD programme, application form and regulations for the degree of Philosophiae Doctor (PhD) are available at the following address: https://en.uit.no/forskning/art?p_document_id=490406.
The position’s field of research/research project and other duties
The position is a part of the Arctic Center for Sustainable Energy at UiT, which is an interdisciplinary research strategy focusing on Arctic challenges and conditions within renewable energy and greenhouse gas management. The centre will combine expertise in physics, humanities, chemistry, social sciences, applied mathematics, marine biology, computer science, and electrical engineering, and recruit professors and PhD-candidates to strengthen the UiT research within the scope of the centre. The focus of ARC, seen in an Arctic context, are ethical and responsible presumption of distributed renewable electricity, fuels and thermal energy, and an accountable management of greenhouse gas.
Renewable energy from wind energy is natural varying with the local weather conditions at the production site, and the intermitted power generation influence both power grid stability, energy system operators and the power marked economics. Accurate wind power predictions may reduce the cost impact of wind energy, and several forecasting techniques and methods have been proposed to solve this problem. The candidate will investigate and propose new techniques for resource mapping of renewable electricity production from wind in complex terrain in the Arctic based on numerical models from meteorology, as e.g. the Weather Research and Forecasting model (WRF) and CFD modelling (e.g. SephyCFD/OpenFoam), artificial intelligence, machine learning and statistical signal processing. The candidate will be a part of interdisciplinary research collaboration in ARC, and contribute to collaboration both locally with national power industry and internationally with research institutions as the National Center for Atmospheric Research in Boulder, Colorado. Research and methods can be expanded into renewable energy from other sources, as hydropower and solar energy.
For further information about the position and project, contact:
- Associate professor Yngve Birkelund, +47 99377377/+1 720 436 8934, email: [email protected], or
- Associate professor Stian Normann Anfinsen, +47 77645173, email [email protected]
The successful applicant must fulfil the requirements for admission to the faculty’s PhD programme, cf. Regulation for the degree of Philosophiae Doctor (PhD) at UiT The Arctic University of Norway. In addition, he/she be able to document proficiency in English equivalent to Norwegian Higher Education Entrance Qualification, refer to the website about PhD regulations at UiT.
This position requires a Master’s degree in meteorology, renewable energy, physics, mathematics, or a similar field. The Master’s degree should be recognized as equivalent to a 2-year Norwegian Master’s degree.
It is preferable if the candidate has knowledge and experience with one or more of the following: WRF, fluid dynamic and CFD, programming (e.g. Phyton, Matlab. Linux/bash, NCL/NCO) and machine learning techniques/algorithms.
Language skills: Good communication skills in both written and spoken English
The applicant are encouraged to write a short project description for the PhD project, with focus on research interest and problems to be addressed.
Emphasis is attached to personal suitability, master’s degrees and relevant background of the candidate.
The application must include:
- Letter of application
- Proposal for project description (not mandatory, but encouraged)
- CV (containing a complete overview of education, supervised professional training and professional work)
- copies of:
- diploma and transcript from your Bachelor’s degree or equivalent
- diploma and transcript from your Master’s degree or equivalent
- diploma supplement for completed degrees
- documentation of English language proficiency
- List of 2-3 references with contact information.
- List of works and description of these (see below)
- The list of works shall contain the following information:
- author(s), the work’s title
- for articles: the journal’s name and volume, the first and last page of the article, year of publication
- for publications: publisher, printer, year of publication, number of pages
- The works (published or unpublished) which the applicant wishes to be taken into consideration during the assessment process must be submitted
All documentation that is to be evaluated must be certified and translated into English or a Scandinavian language.
Information and material to be considered during the assessment must be submitted by the stipulated deadline.
Applications submitted via email will not be evaluated.
All information and material to be considered during the assessment must be submitted by the stipulated deadline.
In case of discrepancies between the Norwegian and the English version of this description, the Norwegian version takes precedence.
Remuneration for the position of PhD Candidate is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.
The applicants will be assessed by an expert committee. During this assessment process, emphasis will be attached to the applicant’s potential for research as shown by:
- Master’s thesis or equivalent
- Any other academic works,
- Documented language skills/test scores, and
- Project description (if submitted by the candidate)
The applicants who are assessed as the best qualified will called to an interview. The interview shall among other things aim to clarify the applicant’s personal suitability for the position.
A shorter period of appointment may be decided when the research fellow has already completed parts of his/her research training programme or when the appointment is based on a previous qualifying position (PhD Candidate, research assistant, or the like) in such a way that the total time used for research training amounts to three years.
We make the appointment in accordance with the regulations in force concerning State Employees and Civil Servants, and guidelines at UiT. At our website, you will find more information for applicants.
UiT The Arctic University of Norway has HR policy objectives that emphasize diversity, and encourages all qualified applicants to apply regardless of their age, gender, functional ability and national or ethnic background. The university will emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.
We process personal data given in an application or CV in accordance with the Personal Data Act. You may request to not be registered on the public list of applicants, but the University may decide that your name will be made public. You will receive advance notification in the event of such publication.