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

9 Apr 2024
Job Information

Organisation/Company

University of Bergen

Department

Geophysical Institute

Research Field

Computer science » Informatics
Mathematics
Physics
Engineering

Researcher Profile

First Stage Researcher (R1)

Country

Norway

Application Deadline

7 May 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Is the job funded through the EU Research Framework Programme?

HE / ERC

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
PhD position

There is a vacancy for a PhD Research Fellow at the Geophysical Institute  (GFI). The position is for a fixed-term period of 3 years with the possibility of a 4th year with compulsory other work (e.g. teaching duties at the Department) 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 associated to the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE. (Link: https://www.uib.no/en/matnat/159993/will-develop-groundbreaking-offshore- wind/technology-erc-grant ).

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.

Requirements

Research Field

Computer science » Informatics

Education Level

Master Degree or equivalent

Research Field

Mathematics

Education Level

Master Degree or equivalent

Research Field

Physics

Education Level

Master Degree or equivalent

Research Field

Engineering

Education Level

Master Degree or equivalent

Skills/Qualifications
Qualifications and personal qualities

• Applicants must hold a master's degree or equivalent education in informatics, mathematics, physics or engineering. Master students can apply provided they complete their final master exam before 31.08.2024. It is a condition of employment that the master's degree has been awarded.
• Programming skills (e.g., Fortran, C++ or Python) is a requirement.
• Experience with finite-element method (FEM) and boundary-element method (BEM) is an advantage.
• Experience with either scientific computing or numerical optimization is an advantage.
• Experience with unsupervised machine learning is also an advantage.
• Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
• Applicants must be proficient in both written and oral English.

Personal and relational qualities will be emphasized. Ambitions and potential will also count when evaluating the candidates.

Specific Requirements

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

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits
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 NOK 532 200, - (equivalent to pay grade 54). 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

Selection process

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.

The successful applicant must comply with the guidelines that apply to the position at all times.

For further information about the recruitment process, click here .

Website for additional job details

https://www.jobbnorge.no/en/available-jobs/job/261256/phd-research-fellow-in-da…

Work Location(s)

Number of offers available

1

Company/Institute

Geophysical Institute

Country

Norway

State/Province

Bergen

City

Bergen

Postal Code

5007

Street

Allegaten 70

Geofield

Where to apply

Website

https://www.jobbnorge.no/en/available-jobs/job/261256/phd-research-fellow-in-da…

Contact

State/Province

Bergen

City

Bergen

Website

https://www.uib.no/en/gfi

Street

Allegaten 70

Postal Code

5007

E-Mail

[email protected]

STATUS: EXPIRED