Postdoctoral Fellow in Wind Resource Modeling and Assessment
Department of Physics and Technology, Faculty of Science and Technology, UiT – The Arctic University of Norway, Tromsø, Norway
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Homepage: https://en.uit.no/forskning/forskningsgrupper/gruppe?p_document_id=398128
Energy, Resources and the Environment (ERE)
Nonlinear Processes in Geosciences (NP)
A Postdoctoral Research Fellow position is available at the Renewable Energy Group of the Department of Physics and Technology, Faculty of Science and Technology, UiT – The Arctic University of Norway, Tromsø, Norway. This position is funded through an academic research agreement between UiT and Equinor.
The position is a fixed term position for a duration of two years with perspectives for funding over a longer period. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work in top academic positions. It is a prerequisite that the applicant can carry out the project over the full course of the employment period. No person may hold more than one fixed term position as a Postdoctoral Research Fellow at the same institution.
The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer.
The Postdoctoral research fellow will work on multi-scaling weather modelling and wind resource assessment. The primary objective of the research project is to develop methodological background and programming implementation of coupling between a turbulence-resolving modeling system PALM and weather prediction models WRF and HIRLAM.
The Department of Physics and Technology consists of six research groups: Complex Systems Modelling, Earth Observation, Renewable Energy, Machine Learning, Space Physics, and Ultrasound, Microwaves and Optics. The department provides education at Bachelor, Master, and PhD levels; and hosts 35 permanent academic staff, and a technical/administrative staff of 15 persons. The position is attached to the Renewable Energy group, but intensive collaboration with other research groups at the department as well as with the Norwegian Meteorological Institute will be necessary.
The position’s field of research
Wind energy production becomes increasingly important for sustainable development, decarbonization, and ultimately for achieving better environmental and life quality. Its importance is reflected in the United Nations sustainable development goals SDG-7 (Energy), SDG-11 (Sustainable cities), SDG-13 (Climate actions), and others. Today, we have a good understanding of the availability and variability of renewable energy resources on large (regional) scales. Wind energy is still fragmentary understood on small spatial and time scales. Such understanding is however strongly required for economically successful and environmentally responsible development of wind energy projects.
The successful candidate will contribute to multi-scale wind modeling effortrun in the Renewable Energy Group. We primarily work with WRF and PALM modeling systems but want to develop research effortsin the direction of model coupling and integrated modeling system technologies. The candidate is expected to implement a multi-scale wind modeling system and to:
achieve a better understating of local-scale variability of the renewable energy resources
demonstrate a novel integrated technology for local-scale resource assessment
provide recommendations for Equinor renewable energy projects
The proposed research will include the following main tasks:
Revision and further development of multi-scale model coupling methodology related to the PALM model system
Improvements in current implementation of the PALM model system coupling
Setup and run high resolution simulations with PALM on the Norwegian e-infrastructure for Research and Education for wind park locations in Norway
Attribution of the observed local-scale variability of the renewable resources to physical processes using PALM simulations
All applications must be submitted through
https://www.jobbnorge.no/en/available-jobs/job/249953/postdoctoral-fellow-in-wind-resource-modeling-and-assessment