University of Bristol - School of Physiology, Pharmacology and Neuroscience · 1 month ago
Research Associate / Senior Research Associate in Computational Mechanics for Wind Energy Composite Structures
Bristol, CT
Full-time
Onsite
Entry, Mid Level
£40K/yr - £50K/yrThe University of Bristol is seeking a Postdoctoral Researcher to join the EPSRC-funded BladeUp Prosperity Partnership, focusing on the design and performance of next-generation wind turbine blades. The successful candidate will develop computational tools for large-scale wind turbine blade optimization and collaborate with academic and industrial partners to enhance manufacturing processes.
Higher Education
Responsibilities
Conducting high-impact research in composite and structural modelling, and stochastic design, contributing to the future of blade manufacturing
Collaborating with leading academic and industrial teams to co-develop next-generation design and optimisation tools
Analysing large experimental and simulation datasets to improve blade performance, manufacturability, and reliability
Publishing your findings in top journals and presenting at international conferences, with opportunities to contribute to tool integration and industrial implementation
Qualification
Required
PhD (or near completion) in engineering, materials science, computational mechanics, or a closely related field
Expertise in one or more of the following: finite element modelling, composite manufacturing, machine learning, or stochastic design
Motivated to work across academic–industrial boundaries and contribute to practical solutions for clean energy technologies
Enjoy collaborative, interdisciplinary research and are eager to publish, present, and translate work into real-world impact
Preferred
Experience with relevant software tools (e.g. Abaqus, ANSYS, MATLAB, Python)
Interest in developing industry-ready research tools
Company
University of Bristol - School of Physiology, Pharmacology and Neuroscience
Research within the School of Physiology, Pharmacology and Neuroscience is conducted across Neuroscience, Cardiovascular and Cell Signalling.
Founded in 1876
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase