AI & ML Researcher for Harbour Digital Twin (KTP Associate)

The University of Manchester and Dover Harbour Board are looking to recruit a KTP Associate to undertake this 33-month project which has an overall aim of developing a physics-based and AI augmented Digital Twin tool, which will provide simulation of fluid flow patterns to support analysis of navigation environment at the Port of Dover.

The position will provide the successful candidate with a unique opportunity to work with a team of academics, industry practitioners and another KTP associate, and translate AI & Machine Learning techniques to an important industry sector of port transportation.

Candidates will require a PhD or Master's degree in a relevant subject (e.g., Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Marine Technology) as well as academic or industrial experience in the fields of Simulation, Hydrodynamics or Digital Twin.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

Based at the Port of Dover (Harbour House, Marine Parade, Dover CT17 9BU), the successful candidate will work directly with supervisors from both the University and Dover Harbour Board and will use the facilities and resources of both organisations.

This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with Dover Harbour Board owner and operator of the Port of Dover.

What you will get in return:

• Fantastic market leading Pension scheme


• Excellent employee health and wellbeing services including an Employee Assistance Programme


• Exceptional starting annual leave entitlement, plus bank holidays


• Additional paid closure over the Christmas period


• Local and national discounts at a range of major retailers


As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here

Hybrid working arrangements may be considered.