University of Bristol - School of Physiology, Pharmacology and Neuroscience · 20 hours ago
Composites Forming Development Engineer
Bristol, CT
Full-time
Onsite
New Grad, Entry Level
£37K/yr - £40K/yrThe University of Bristol is seeking a highly skilled graduate or post-graduate to lead a Knowledge Transfer Partnership with iCOMAT Limited, focusing on the development of a simulation modelling process for composite manufacturing. The role involves developing machine learning tools and high-fidelity finite element analysis for composite materials, while managing project responsibilities and outputs.
Higher Education
Responsibilities
The project will develop a new simulation modelling process for forming composite fibres into 3D-shaped component parts
Development, application and support of hi-fidelity finite element tools, bespoke codes and theory-guided machine learning algorithms for the prediction of manufacturing processes in composite materials
Development of user subroutines for finite element constitutive models
Validation of model and numerical analysis results
You will be the project lead, managing your own workload and ensuring outputs, including leading on meetings and workshops
Direct problem-solving activities and your own learning
Qualification
Required
First degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic)
Experience of processing of numerical and/or experimental data and systems thinking
Excellent communication skills and experience of developing research projects or industry/academia collaborations
Willingness to lead and take ownership of the project with excellent problem-solving skills
Preferred
Knowledge of data science/AI frameworks is desirable
Benefits
£4,000 training budget
10% of your time dedicated to your personal development
Access to a pension scheme with generous employer contributions
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