Publisert: 22.03.21

PhD position connected to the research centre FME Northwind

Predictive maintenance planning of offshore wind farms – PhD position connected to the research centre FME Northwind

This PhD project is part of the newly established FME NorthWind (Norwegian Research Centre on Wind Energy) that has as aim to bring forward outstanding research and innovation to create jobs and grow exports, and to facilitate the sustainable development of wind power. The Centre is led by SINTEF, with research partners NTNU (Norwegian University of Science and Technology), UiO (University of Oslo), NINA (The Norwegian Institute for Nature Research), and NGI (Norwegian Geotechnical Institute). The Centre involves more than 40 national and international industrial partners that, together with the research partners, comprise a world leading consortium for the development of a sustainable wind energy future.

This PhD position is connected to work-package 2: “Marine operations and Logistics” within the FME NorthWind, and will focus on effective logistics planning to reduce the cost of maintaining  offshore wind farms, while at the same time maximizing the energy output. The goal is to develop a methodology that combines probability distributions on failures, data on vessel capabilities and logistics planning to create optimal maintenance schedules. To develop this methodology new exact and/or heuristic solution methods must be developed, based e.g. on existing methods from mixed integer stochastic programming.

 

Duties of the position

  • Conduct original scientific research relevant to the research topic above
  • Publish and disseminate research results obtained in a suitable and timely manner
  • The candidate must engage in the FME NortWind activities as required
  • Complete mandatory coursework during the initial part of the employment period
  • Meet with and plan research tasks in collaboration with relevant research and industrial partners from the NorthWind consortium

 

Qualification requirements

  • The PhD position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in Industrial Economics and Technology Management or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD-degree.
  • The position requires excellent English oral and writing skills.
  • Good knowledge of mixed integer linear programming, stochastic programming and combinatorial optimization.
  • Proficiency in at least one programming language, e.g. C++, Java, Python or Julia.

In addition, the following qualifications will contribute positively to the evaluation of the applicant:

  • Knowledge of Norwegian or other Scandinavian language

Recent graduates, or applicants who are in the final stage of their Master’s program, are encouraged to apply. Such an applicant may be offered the position under the condition that the diploma will show satisfactory final term results.


Please read more here: https://www.jobbnorge.no/ledige-stillinger/stilling/203316 



Om IØT

Department of Industrial Economics and Technology Management

IØT has challenging and inspiring educational programmes and research projects in the cross-disciplinary field of technology management. Through its programmes of study, IØT educates candidates with a solid technological basis in methodology and theory on how to develop and manage technologically based organisations.

Research

Participation in, and development of, research projects in close co-operation with Norwegian industry, the department is also developing models, tools and methods for how to manage Norwegian industry.




Stillingstype
Annet
Sted
Trondheim
Søknadsfrist
30.04.21
Årstrinn
1 2 3 4 5

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