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Trondheim

    PhD Candidate in Circumventing avian collision risk, an aerodynamic approach - Trondheim, Norge - Norwegian University of Science and Technology

    Norwegian University of Science and Technology
    Norwegian University of Science and Technology Trondheim, Norge

    6 dager siden

    Norwegian University of Science and Technology background
    Project
    Beskrivelse

    About the job

    We have a vacancy for a PhD Candidate at the Department of Mathematical Sciences at Norwegian University of Science and Technology (NTNU) in collaboration with the Norwegian Institute for Nature Research (NINA) and SINTEF Energy for the FME NorthWind: Norwegian Research Centre on Wind Energy (). The FME NorthWind aims to bring forward outstanding research and innovation to reduce the cost of wind energy, facilitate its sustainable development, create jobs and grow exports.

    This PhD position is part of the WP5 Sustainable wind development and related to avian collision risks which is one of the main environmental impacts of onshore and offshore wind turbines on birds. In an offshore setting, many seabird populations are in sharp decline due to climate change and anthropogenic marine activities. There exists yet little knowledge on the extent of collision mortality internationally, due to the difficulty in recording such collision events offshore. Also, existing collision risk models are simplistic in nature and heavily rely on accurate knowledge of avoidance. The PhD will develop an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This model will be fed by existing empirical data on bird flight behavioral responses to wind turbines from various avian radar studies. This model will allow simulation of birds flying within the turbulent airspace of a wind farm, and prediction of the probability of collision at wind turbines. This will be integrated into a Digital Twin (DT) framework to realize augmented reality to inform stakeholders of future environmental impacts of the planned wind farms.

    We offer the opportunity to work in a very inspiring and motivating multidisciplinary research group to achieve the goal which is a completed doctoral education up to an obtained doctoral degree.

    Main supervisor NTNU: Trond Kvamsdal

    Co-supervisors: Roelof Frans May (NINA), Bjørn Winther Solemslie (NINA), John Olav Giæver Tande (SINTEF Energy)

    Support group: Adil Rasheed (NTNU), Ana Silva (NINA)

    Duties of the position

  • The main duty of the position is to carry out research on circumventing aviation collision risk based on an aerodynamic approach.
  • Take part in the mandatory PhD research education program.
  • Conduct independent research and publish the result in recognised scientific journals.
  • The candidate must engage in FME NorthWind activities as required.

    • Required selection criteria

  • You must have a professionally relevant background in Applied/Numerical Mathematics, Physics or Engineering with a solid education in numerical methods for solving partial differential equations.
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
  • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • Master's students can apply, but the master's degree must be obtained and documented by 20th of June 2024.
  • You must meet the requirements for admission to the PhD progamme in at the Faculty of Information Technology and Electrical Engineering (IE) at NTNU.
  • Applicants must have significant programming experience ideally in C, C++, R and/or Python.

    • The appointment is to be made in accordance with and

    Preferred selection criteria

  • Experience in ornithology and/or ecology.
  • Academic results in form of publications and conference presentations.
  • Excellent English language skills, written and spoken.

    • If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

    Personal characteristics

  • Being structured, targeted and solution oriented.
  • Being a team player in a group with the project consortium, professors, researchers, PhDs and scientists from the industrial sector.
  • Self-driven with a strong ability to work independently when required.
  • Proven ability to work with an interdisciplinary team.
  • Have good dissemination skills.
  • Personal skills like a positive and friendly attitude and contributing to a sustainable social environment will also be valued.

    • Emphasis will be placed on personal and interpersonal qualities.

    We offer

  • exciting and stimulating tasks in a strong international academic environment
  • an open and with dedicated colleagues
  • favourable terms in the

    • Salary and conditions

    As a PhD candidate (code 1017) you are normally paid from gross NOK per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

    The period of employment is 3 years. The department might have the opportunity to offer up to 12 months in addition with teaching duties.

    Appointment to a PhD position requires that you are admitted to the PhD programme in in Mathematical Sciences () within three months of employment, and that you participate in an organized PhD programme during the employment period.