Marie Curie Early Stage Researcher in Sustainable Offshore Wind Energy
Join the MSCA Doctoral Network POSEIDON to advance eco-friendly offshore wind technology through data science and machine learning.
Best for:Best for early-career researchers with a strong background in engineering, computational skills, and a passion for renewable energy and sustainable infrastructure.
Overview
The University of Warwick’s School of Engineering is seeking a Marie Curie Early Stage Researcher to contribute to the MSCA Doctoral Network POSEIDON, focusing on developing sustainable offshore wind infrastructure. The successful candidate will conduct innovative research on offshore wind energy, leveraging data science, machine learning, and computational modeling to address key challenges in wind farm design, performance, and environmental interaction. This role involves collaboration with EU academic and industrial partners, international secondments, and dedicated training activities. The position emphasizes hands-on work with large environmental datasets (geospatial, weather, tide) and offers an opportunity to develop expertise in renewable energy systems while gaining international research experience.
What you'll do
- Conduct innovative research on sustainable offshore wind energy, focusing on improving wind farm design, performance, and environmental interaction.
- Apply data science and machine learning techniques to analyze large environmental datasets (geospatial, weather, tide data).
- Collaborate with academic and industrial partners across the EU to deliver scientific and training objectives of the POSEIDON project.
- Develop research skills through international secondments, network collaborations, and dedicated training activities.
- Contribute to the development of the next generation of eco-friendly offshore wind infrastructure.
- Work closely with computational mechanics and laboratory/physical testing for soil characterization.
Requirements
Degree required: Master of Science (MSc) or equivalent in Civil/Geotechnical Engineering, Ocean/Offshore Engineering, Applied Mechanics, Naval Architecture, or a closely related discipline
Degree offered: PhD
Language: English; proficiency required for collaboration and communication
Instruction: English
- Proficiency in Python, MATLAB, or C++ for data analysis, automation, or machine learning implementation
- Experience with computational mechanics and laboratory/physical tests for soil characterization
- Strong numerical and computational skills
- Ability to deliver independent research with a developing academic profile
- Excellent communication skills in English
- Experience working with large environmental datasets
- Applicant must not have been awarded a PhD
- Candidates should not have lived or worked in the UK for more than 12 months in the 3 years before recruitment
- Applicants must be within the first four years (full-time equivalent) of their research career
- Registration for a PhD degree at the University of Warwick is required
Funding & terms
How to apply
Deadline: 2026-11-01
Applicants must apply through the University of Warwick’s recruitment portal. The application process requires submitting a CV, cover letter, and other relevant documents as specified in the job description. Full details of the application process can be found on the University of Warwick’s jobs page.
- CV
- Cover letter
- Research statement or proposal
- Transcripts of MSc degree
- Proof of English proficiency (if applicable)
- Reference letters (likely 2-3)
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