PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy

Universitetet i Bergen; Bergen; On-site; NOK 534,000 - 653,000; Full time

Job summary

The University of Bergen invites applications for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at the Geophysical Institute (GFI). The three-year fellowship may extend to four years depending on teaching needs and qualifications.

The project bridges fundamental and applied research in the Bergen Offshore Wind Centre, aiming to develop data-driven approaches for aero-hydro-elastic analysis of offshore wind turbines and to publish results in leading

Qualifications

• Master's degree or equivalent in engineering, informatics, mathematics or physics.
• Programming skills in Fortran or C++ are required.
• Excellent written and oral English skills.
• Ability to work independently and in a structured, collaborative manner.

Responsibilities

• Develop data-driven computational mechanics for aero-hydro-elastic analysis of offshore wind turbines.
• Collaborate with Bergen Offshore Wind Centre (BOW) and Geophysical Institute (GFI).
• Publish results in high-quality international journals.

Skills

Programming skills

Fortran/C++

High-performance computing

Written English

Oral English

Education

Master's degree or equivalent

STEM degree in engineering/informatics/mathematics/physics

Job description

PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy

UiB - Knowledge that shapes society

UiB shall be among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work.

PhD position

There is a vacancy for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at Geophysical Institute (GFI). The position is for a fixed-term period of 3 years and will cover an important part of the activities at the Bergen Offshore Wind Centre (BOW) targeting at bridging fundamental and applied research within offshore wind energy. This position is financed by EU and associated with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE (Grant agreement ID: 101083157).

About the project/work tasks:

Offshore wind energy is fundamental to achieve the goals of the European Green Deal. Although offshore wind energy has an important degree of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development of data-driven approaches in computational mechanics. The research activities related to this position pursue the development of data-driven computational mechanics that will be subsequently applied to the aerohydroelastic analysis of offshore wind turbines. This novel computing paradigm enables the transition from standard data-starved approaches to modern data-rich approaches, in which the underlying initial-boundary value problem is reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities associated to the position target also at a close collaboration with ongoing research at the BOW and GFI. It is expected that the results emerging from these research activities will be published in highly-ranked international journals.

Qualifications and personal qualities:

• Applicants must hold a master's degree or equivalent education in engineering, informatics, mathematics or physics, or have submitted his/her master’s thesis prior to the application deadline. It is a condition of employment that the master's degree has been awarded.
• Programming skills, e.g., Fortran or C++, is a requirement.
• Competence in the theory of the finite element method is an advantage.
• Competence in the theory of numerical optimization is an advantage.
• Experience from high-performance computing is an advantage.
• Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
• Applicants must have excellent written and oral English skills.

Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.

About the PhD position:

Special requirements for the position
The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.

About the PhD Research Fellow position
The fellowship will be for a period of 3 years, with the possibility for a 4th year contingent on the qualifications of the candidate and the teaching needs of the department and will be decided by the Head of department upon appointment. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year.

The employment period may be reduced if you have previously been employed in a qualifying post (e.g. research fellow, research assistant).

About the research training
As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements for the PhD programme at the University of Bergen.

We can offer:

• a good and professionally stimulating working environment
• salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK593 700. Further increases in salary are made according to length of service in the position.
• enrolment in the Norwegian Public Service Pension Fund
• good welfare benefits

General information:

For further details about the position, please contact Professor Cristian G. Gebhardt, Geophysical Institute and Bergen Offshore Wind Centre, e-mail: [e-mail], tel.: [phone] or Researcher Bruno A. Roccia, Geophysical Institute, e-mail: [e-mail].

For HR related questions, please contact Magnus Larsen, email [e-mail].

Diversity is a strength that enables us to solve our tasks even better. UiB therefore needs qualified employees regardless of gender, ethnicity, religion, worldview, disability, sexual orientation, gender identity, gender expression, and age.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

We encourage applicants with disabilities, immigrant backgrounds, or gaps in their CV to apply. By indicating such circumstances in your application, you may receive favourable consideration. We ensure that at least one qualified applicant from each of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity.

Further information about the employment process can be found here.

Life as a PhD candidate at UiB

Marion Claireaux tells about life and work as a PhD candidate at UiB.

About UiB

The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.

TherearesevendepartmentsandseveralcentresatFacultyof Scienceand Technology.Read more about the facultyand departments.