Ph.D. scholarships in Marine Technology

Deadline: 14.01.2022

Western Norway University of Applied Sciences

Høgskulen på Vestlandet (HVL) er en av de største høgskolene i landet, med om lag 1 800 ansatte og 16 000 studenter fordelt på fem campus i Førde, Sogndal, Bergen, Stord og Haugesund.

Vi har sterke og innovative fagmiljø innen helse- og sosialvitskap, ingeniør- og naturvitskap, økonomi og samfunnsvitskap og maritime studier, og lærerutdanning, kultur og idrett. HVL tilbyr bachelor-, master- og doktorgradsutdanninger og ulike årsstudium.

HVL er tett på arbeidslivet, regionen og studentene, og har mål om å bli et universitet med profesjons- og arbeidslivsrettet profil.

Fakultet for økonomi og samfunnsvitskap (FØS) har tre institutter: Institutt for Økonomi og administrasjon, Institutt for maritime studier og Institutt for samfunnsvitskap. Totalt er det ca. 120 faglig ansatte ved fakultetet og vel 2000 studenter. Fakultetet har i dag ni bachelorprogrammer og fire masterprogrammer. Fakultetet er vertsfakultet for doktorgradprogrammet RESINNREG i samarbeid med Fakultet for ingeniør- og naturvitskap og Fakultetet for helse- og sosialvitskap. Fakultetet har i tillegg et doktorgradsprogram i nautiske operasjoner som er en fellesgrad med Norges teknisk-naturvitenskapelige universitet (NTNU), Norges arktiske universitet (UiT) og Universitetet i Sørøst-Norge (USN)

Western Norway University of Applied Sciences, Faculty of Engineering and Science has two vacancies for Ph.D. scholarships in Marine Technology

The positions are part of the research project "HYDROMORE", financed by the Research Council of Norway, with research partners at The University of Manchester (UK), University of Oslo and SINTEF Ocean. The positions are for a fixed-term period of 3 years, with possibility for one position to be extended to 4 years with 25% teaching responsibilities (subject to appropriate qualifications).

The Ph.D candidates will be part of the Wind, Water and Waves research group in the Department of Mechanical and Marine Engineering at the Faculty of Engineering and Science.

Workplace is at campus Bergen. There are possibilities for temporary secondment at one or more of the partnering research institutions.

HYDROMORE seeks to establish new best-practice approaches for designing future mooring systems used in floating ocean renewable energy devices. This will ultimately enable the design of leaner and safer mooring solutions and reduce the cost of energy from these technologies.

A major obstacle to minimise cost of electricity from both floating wind and wave energy, is the mooring system cost. Traditional moorings are heavy and designed using methods suitable for large floating oil rigs, but not for small, dynamic floating wind structures or wave energy converters. Mooring forces are influenced by low-frequency effects, such as slow drift and the interaction of variable wind and wave conditions, coupled with structure response and adaptive control systems. These interactions are not readily assessed using high fidelity methods, such as computational fluid dynamics (CFD). As such, there is a knowledge-gap between fast, low-fidelity methods and slow, high-fidelity methods. Hence the design of leaner, more advanced mooring solutions is restricted.

Through four work-packages, HYDROMORE will address this knowledge-gap, to accurately model nonlinear and irregular seas, whilst allowing rapid evaluation of multiple design condition parameters. HYDROMORE will assess reliability and limitations of state-of-the-art methods for accurate hydrodynamic modelling over long-periods, as well as highly nonlinear breaking waves. Methods for modelling the combined effects of wind loading, e.g., a turbine moving in and out of its own wake, with hydrodynamics will also be studied. All modelling will be validated against controlled laboratory-scale tests to help inform new industry standards.

Depending on the candidates’ backgrounds, the two PhD positions will be divided between the following focus areas:

• Linear and second-order diffraction modelling

• Breaking waves and CFD modelling


Formal qualifications:

  • Excellent MSc degree in either Marine Structures/ Hydrodynamics, Fluid Mechanics or Applied Mathematics.
  • MSc thesis within one or more of the following fields: Marine Hydrodynamics, Marine Structures, Ocean Renewable Energy, Offshore Wind Energy, Experimental/Applied Fluid Mechanics, Computational Fluid Dynamics.
  • To qualify for admission to the HVL Data Science programme, the MSc degree must include a strong computational component
  • For teaching purposes, the candidate is required to have a strong Scandinavian language.

Wanted qualifications:

  • Excellent level of spoken and written English
  • Experience from either numerical modelling or experimental testing.
  • Previous relevant industry experience
  • Knowledge and experience of working with hydrodynamic computational codes.

Personal qualifications:

  • Ability to work in a team
  • Good communication skills
  • High work capacity
  • Solution oriented.

In addition to the required educational qualifications, the following criteria will be evaluated: competence and grades on completed course work, quality of the master's thesis (excellent grade, equivalent of grade B or better on the ECTS grading system), publications (if any), communication skills, research and teaching experience, practical software and engineering skills and laboratory experience.

The candidate must be diligent and display the ability to work independently, supplemented with regular guidance, and is expected to carry out high-quality research and to publish the results in national seminars, international workshops, conferences, and journals.

The PhD candidates will be assigned academic supervisors at Western Norway University of Applied Sciences (HVL). An application for enrolment onto HVL’s Data Science PhD programme (or appropriate equivalent) should first be submitted after an appointment is made and the supervisor(s) will help with this procedure. The candidate must be enrolled as a PhD student within 3 months from the start of the employment.

Admission to HVL’s Data Science PhD programme requires that the applicant holds a master's degree within the information and communication technology or computing fields, such as a master's degree in informatics, computer science, software engineering, communication systems, engineering computing, scientific computing, or computational engineering. Candidates from other natural sciences or engineering disciplines holding a master's degree with a strong emphasis on computing may also qualify for admission to the programme.

Application procedure:

Applications will be evaluated by an expert panel of three members.

Applicants are asked to submit their application and CV online. Please use the link “Apply for this job” (“Søk stillingen”).

The following documentation should be uploaded as an attachment to the online application:

  • Master Thesis
  • Copies of selected academic publications (no more than 15)
  • A CV with a complete list of academic publications
  • Diplomas and certificates

Applicants should indicate which publications or parts of publications should be given special consideration in the evaluation. If the documents submitted are not in a Scandinavian language or in English, the applicants must submit certified translations of these. The transcripts must specify the topics, the course works, and the grades at the bachelor`s and master`s degree levels.

Applicants whose education is from another country than Norway, need to also attach a certified translation of the diploma and transcript of grades to English or a Scandinavian language, if the original is not in any of these languages. It is required that the applicant enclose a review from NOKUT whether the education (bachelor and master’s degree) is of a scope and level that corresponds to the level of a Norwegian master’s degree. Please see www.nokut.no/en for more information about NOKUT’s general recognition. This may take some time and we recommend you to apply as soon as you know you will apply for this position. If no answer within the application deadline, please enclose documentation from NOKUT that they have received your application.

Applicants should note that the evaluation will be based on the documentation submitted electronically via Jobbnorge within the submission deadline. The applicants are responsible for ensuring that all the documentation is submitted before the closing date. It is of utmost importance that all publications to be considered in the evaluation are uploaded as an attachment with the application, since these are sent electronically to the expert panel. Applications cannot be sent by e-mail or to individuals at the college.


  • Good occupational pension, insurance and loan schemes from The Norwegian Public Service Pension Fund
  • Exciting academic environment with the possibility of competence enhancement and development
  • Opportunities for training within the working hours

Initial salaries will be offered at grade 54 (code 1017) in the Civil Service pay grade table scale.

There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no for more information). The successful applicant must comply with the guidelines that apply to the position at any time.

General information:

The appointment will be made in accordance with the regulations for State employees Law in Norway ("Lov om statens ansatte)". Organizational changes and changes in the duties and responsibilities associated with the position must be expected.

State employment shall reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds.

Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if his/her request is not respected.

Short-listed applicants will be called in for an interview.


1) Associate Professor David Lande-Sudall, email: [email protected], tlf: +47 55 58 71 47

2) Head of Department Nils Ottar Antonsen, email: [email protected], tlf: +47 55 58 75 75

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