AI-Driven Modelling & Optimisation Fellow

Times Higher Education; Cranfield; On-site; GBP 33,000 - 44,000; Full time

Job summary

Cranfield University invites applications for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition to low-carbon, efficient transport systems and AI-enabled circular manufacturing supply chains.

You will apply computational and AI approaches to analyse scenarios, optimising operations, capacity, and investment sequencing while balancing cost and emissions.

Qualifications

• PhD or EngD in Engineering, OR, Applied Mathematics, CS or Data Science.
• Strong experience in optimisation and computational modelling.
• Ability to formulate real-world problems as tractable optimisation problems.

Responsibilities

• Develop modelling and optimisation methods for low-carbon transport and AI-enabled manufacturing.
• Analyse scenarios across complex transport and manufacturing systems to identify better strategies.
• Collaborate with researchers, industry partners and stakeholders on simulation models and data architectures.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Optimization

Computational modelling

Data analysis

Education

PhD/EngD

Tools

Python

MATLAB

R

Gurobi/CPLEX

Job description

Cranfield University invites applications for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition to low-carbon, efficient transport systems and AI-enabled circular manufacturing supply chains.

You will apply computational and AI approaches to analyse scenarios, optimising operations, capacity, and investment sequencing while balancing cost and emissions.