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Met2Adapt: Modelling of the dynamic response for offshore wind farms

Funding
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Full-time
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Subject area
Mathematics
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Overview

We will develop novel mathematical models to predict the dynamic phenomena arising in offshore wind farms and further model the acoustic waves generated by individual, and clusters of, wind turbines to help quantify the effect on wildlife, including birds, marine mammals, and fish.

About this opportunity

Funded by the Marie Skłodowska-Curie Actions (Horizon Europe, Grant Agreement No. 101227175), Met2Adapt aims to recruit 16 PhD candidates who will be employed by one of the 10 partner institutions across Europe. Met2Adapt puts forward an ambitious research and training plan that will foster a new generation of researchers able to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and eventually carbon-efficient yet safe meta-structures for the renewable energy sector. The focal point of this research will be the deployment of custom-fit solutions for infrastructure that is critical to the European energy resilience, i.e. offshore and onshore wind farms, and wave-energy converters.

Key to our training methodology is our firm commitment on establishing an active and student-centred ‘training by research’ environment, which will put the Doctoral Candidates in charge of their training process. On top of the supervision arrangements provided by the Met2Adapt academic beneficiaries, the DCs will join a thriving training hub comprising formal courses, dedicated training weeks, academic and industrial secondments, and a dedicated industrial mentorship program. The candidates will work together within the Met2Adapt network and engage in multi-disciplinary training-by-research to develop technology in close collaboration with end-users around the world.

The combination of a long coastline, shallow water, and offshore wind makes the UK one of the best locations in the world for wind power. As of 2023, the UK has over 11,000 wind turbines generating 30 GW of power, which accounts for almost 30% of the UK electricity supply. The UK Government has committed to increase the offshore capacity to 50 GW by 2030. Despite these significant benefits and enthusiasm for wind power, there are some serious challenges, which have become apparently in the last two decades 1) Clusters of turbines can produce powerful standing waves, in both air and seawater, severely affecting wildlife and radar and sonar operations. 2) Wind turbines are gyroscopic systems that possess highly complex chiral vibrational modes. DC9 will develop novel mathematical models to predict the dynamic phenomena arising in offshore wind farms and further model the acoustic waves generated by individual, and clusters of, wind turbines to help quantify the effect on wildlife, including birds, marine mammals, and fish.

The MSCA Doctoral Network fellowship is for three years and provides generous remuneration in line with the EC rules for grant holders. All Doctoral Candidates will be seconded to industrial or academic associated partners for a period of up to 6 months

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Who is this for?

Applicants should hold, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant mathematical science or engineering related discipline. English language requirements – One of the following (or equivalent); IELTS – 6.5 overall, with no component below 5.5; TOEFL – 88 overall, with minimum scores of listening 17, writing 17, reading 17 and speaking 19; Pearson PTE Academic – 61 overall, with no component below 59; National of majority English-speaking country. A background in continuum mechanics, the analysis of partial differential equations, and numerical methods and a first-class degree in mathematical sciences are desirable.

Applicants must not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 36 months immediately before the date of recruitment.

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How to apply

  1. 1. Contact supervisors

  2. 2. Prepare your application documents

    You may need the following documents to complete your online application:

    • A research proposal (this should cover the research you’d like to undertake)
    • University transcripts and degree certificates to date
    • Passport details (international applicants only)
    • English language certificates (international applicants only)
    • A personal statement
    • A curriculum vitae (CV)
    • Contact details for two proposed supervisors
    • Names and contact details of two referees.
  3. 3. Apply

    Finally, register and apply online. You'll receive an email acknowledgment once you've submitted your application. We'll be in touch with further details about what happens next.

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Funding your PhD

This Marie Skłodowska-Curie Actions (MSCA) funded Studentship will cover tuition fees and pay a generous living allowance for 3 years, at the MSCA standard rates (approximately €68,000 pa.) The Studentship also comes with access to additional funding in the form of a Research Training Support Grant to fund consumables, conference attendance, etc., as well as a Mobility Allowance and a Family Allowance (where relevant).

We want all of our Staff and Students to feel that Liverpool is an inclusive and welcoming environment that actively celebrates and encourages diversity. We are committed to working with students to make all reasonable project adaptations including supporting those with caring responsibilities, disabilities or other personal circumstances. For example, If you have a disability you may be entitled to a Disabled Students Allowance on top of your studentship to help cover the costs of any additional support that a person studying for a doctorate might need as a result. We believe everyone deserves an excellent education and encourage students from all backgrounds and personal circumstances to apply.

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Contact us

Have a question about this research opportunity or studying a PhD with us? Please get in touch with us, using the contact details below, and we’ll be happy to assist you.

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