job description
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PhD Researcher for Fast Aerodynamic Modeling of Offshore Wind Farms using Machine Learning Project Description The Geophysical Research Institute (GFI) has an opening for a PhD Researcher position. The position will have a fixed term of 3 years, with the possibility of extension to a 4th year, but will be subject to other duties (e.g., teaching duties in the department) and will be responsible for an important part of the activities of the Bergen Offshore Wind Center (BOW), whose goal is to bridge the gap between basic and applied research in offshore wind energy. The position is related to the project “Development of Fast Aerodynamic Models for Optimized Design and Operation of Offshore Wind Farms using Supervised Machine Learning” (MACHINE WIND), which is funded by an Akademia agreement between UiB and Equinor.MACHINE WIND will be developed by combining and integrating real-time simulation techniques and supervised machine learning (ML) MACHINE WIND will develop a unified framework for the optimal design and operation of offshore wind farms (OWEFs) by combining and integrating real-time simulation and supervised machine learning (ML) techniques. To this end, fast medium-fidelity modeling will be used to estimate the aerodynamic loads and power generation of Offshore Wind Energy Converters (OWECs), such as the Unsteady Vortex Lattice Method (UVLM), as well as different types and structures of Artificial Neural Networks (NNs) to estimate multiple aerodynamic interactions occurring within OWEFs. In addition, fast medium-fidelity modeling will be used to represent the flow in the near field, while ML will be used to represent the flow in the far field, i.e., the distant oscillations. In addition, we will set up a smaller number of reference OWEF configurations to study more complex OWEF configurations through transfer learning (TL). Here, configurations should be understood as the geometric distribution and orientation of OWECs on specific domains in a single OWEF. This approach of combining modeling and ML for OWE applications, while having great potential, is still in its early stages. Therefore, we propose to develop this unprecedented unified framework, which will greatly simplify and improve the design and operation of OWEFs, and thus greatly increase the predictive power compared to current state-of-the-art methods. The research activities associated with this position will also work closely with ongoing research at BOW and GFI. It is expected that results from these research activities will be published in high level international journals.
offer requirements
Qualifications and personal qualities Applicants must have a Master’s degree in Informatics, Mathematics, Physics or Engineering or equivalent. Master’s students may apply as long as they have completed the Master’s exit exam by June 30, 2025 Obtaining a Master’s degree is a condition of employment. Experience in “supervised machine learning” (ML) is required. Programming skills (e.g., Fortran, C++, or Python) are required. Experience with “Unsteady Vortex-Lattice Method” (UVLM) is preferred. Experience with “High Performance Computing” (HPC) is preferred. Applicants must be able to work independently, in an organized manner, and demonstrate good collaboration skills. Applicants must be proficient in written and verbal English. Personal qualities and interpersonal relationships will be emphasized. Ambition and potential will also be considered when assessing candidates. Special Requirements of the Position The University of Bergen is subject to the regulations of the Export Control System. The regulations will be applied when processing applications. With regard to doctoral positions the duration of the fellowship is 3 years, with the possibility of an extension to a 4th year, of which 25% is compulsory work (e.g. teaching duties in the department) and is allocated for the duration of the employment. The fourth year depends on the candidate’s qualifications and the teaching needs of the Department, and is determined by the Head of Department at the time of appointment. If you have previously held a qualified position (e.g. researcher, research assistant), the period of employment may be shortened. Regarding research training As a doctoral researcher, you must be enrolled in an approved doctoral education program for 3 years. The deadline for applying for admission to a doctoral program in the Faculty of Science and Technology is two months after you take up your position, or after you have begun a research project that culminates in a doctoral degree. You must meet the requirements for admission to the PhD program at the University of Bergen. Your application must include a brief description of the applicant’s research interests and motivation for applying for the position. The names and contact details of two referees. One of them should be the main supervisor of the master’s thesis or equivalent. Transcripts and certificates of completion of Bachelor’s and Master’s degrees for your CV. If you have not yet completed your Master’s degree, please submit a statement from your institution confirming the expected date of award of your Master’s degree. Your master’s degree must be evidenced by transcripts and/or certificates of completion prior to taking office. Relevant certificates/certificates. Documentation of approved English language proficiency. A list of any scientific works (list of publications). Any publications in your name. The application form and appendices must be uploaded to Jobbnorge with a certified translation into English or Scandinavian. GENERAL INFORMATION For more information about the position, please contact Prof. Cristian G. Gebhardt, Institute of Geophysics and Bergen Offshore Wind Center, 电子邮件[email protected], tel: +47 55 58 26 23. For HR-related questions, please contact HR consultant Maria Svå sand ([email protected]) Diversity is a strength that enables us to fulfill our mission better. Therefore, UiB needs qualified employees regardless of gender, race, religion, worldview, disability, sexual orientation, gender identity, gender expression and age. The University of Bergen follows the principle of disclosure of information when recruiting faculty and staff. Information about an applicant may be disclosed even if the applicant has requested not to be named on the list of applicants. Applicants must be informed if their request is not met. Successful applicants must comply with the guidelines applicable to the position at all times. We encourage applications from applicants with disabilities, immigration backgrounds or gaps in their CVs. You may be given preference if these are stated in your application. As part of our commitment to inclusion and equal opportunity, we ensure that at least one qualified applicant from each group is invited for an interview. For more information on the recruitment process, please click here.
offer benefits/salary
We can offer a good, career-motivating working environment. The salary for PhD researchers (code 1017) is NOK 540 500 according to the national salary scale. The total annual salary is NOK 540 500. The salary will increase further depending on the number of years of service in the position. Join the Norwegian Civil Service Pension Fund Good benefits