Postdoctoral Research Associate
Core
Lead structural design and validation of a novel water pipe junction using finite element modelling, AI-driven inverse design, and CFD analysis.
Role type
Postdoctoral Research Associate (Structural Engineering & AI)
Builds
A leak-free, cost-effective alternative pipeline junction for South West Water
Domain
Civil Engineering / Water Infrastructure / Machine Learning
Deliverable
production ML models | product features
Required skills
nonlinear finite element modelling, parametric simulation, AI and machine learning for inverse design, experimental testing with Digital Image Correlation (DIC), computational fluid dynamics (CFD), hydraulic modelling
Preferred skills
materials science collaboration, technical report writing, journal publication
Technologies
Finite Element Analysis (FEA), Digital Image Correlation (DIC), CFD solvers
Responsibilities
Perform nonlinear finite element modelling and parametric simulation of the junction device; execute AI and machine learning-driven performance-based inverse design; design and run experimental test rigs; model hydraulic performance; collaborate with materials scientists; prepare technical reports and journal publications
Seniority
Postdoctoral, hands-on IC