Early Stage Researcher: Offshore Wind Data Science & ML

University of Warwick; Coventry; Hybrid; GBP 36,000 - 44,000; Full time

Benefits offered by this job

Pension scheme

Holiday entitlement

Parental/adoption leave

Onsite childcare facilities

Learning and development opportunities

Living Wage employer

Job summary

The University of Warwick's School of Engineering invites applications for an Early Stage Marie Curie Researcher as part of the POSEIDON network. The role focuses on data science and ML applied to environmental datasets to advance offshore wind technology.

The post is fixed-term until 31 July 2029 and aligned with PhD enrolment start dates, with a 36.5 hour work week and potential hybrid work arrangements. The successful candidate will collaborate with EU partners, develop advanced computational

Qualifications

• MSc or equivalent in Civil/Geotechnical Engineering, Ocean/Offshore Engineering, Applied Mechanics, Naval Architecture, or related discipline.
• Strong numerical and computational skills essential.
• Proficiency in Python, MATLAB, or C++ for data analysis, automation or ML.

Responsibilities

• Undertake high-quality research within the MSCA Doctoral Network POSEIDON.
• Develop data science and ML approaches for large environmental datasets (geospatial, weather, tide).
• Collaborate with academic and industrial partners across the EU and undertake international secondments.
• Contribute to the training objectives of the project and to offshore wind research.

Skills

Numerical skills

Computational skills

Python

MATLAB

C++

Education

MSc in Civil/Geotechnical Eng or related

Job description

The University of Warwick's School of Engineering invites applications for an Early Stage Marie Curie Researcher as part of the POSEIDON network. The role focuses on data science and ML applied to environmental datasets to advance offshore wind technology.

The post is fixed-term until 31 July 2029 and aligned with PhD enrolment start dates, with a 36.5 hour work week and potential hybrid work arrangements. The successful candidate will collaborate with EU partners, develop advanced computational