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

£36,024 - £44,263

Dover, Kent - 33 months

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Job description

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.

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.

Due to the nature of the funding, KTP Associates who have already completed a KTP are not eligible to apply.

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.
Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Project description

To create and embed an AI augmented digital twin, which will provide simulation of tidal flows, analysis of safe navigation in the Port of Dover, inform future infrastructure investment and support the realisation of strategic growth objectives.

About the business

Here at the Port of Dover, we handle millions of passengers, vehicles and tonnes of cargo every year. To oversee this, the Dover Harbour Board is responsible for the overall management and development of the Port, including the operation of the cargo and passenger terminals, the maintenance of harbour facilities and infrastructure, and the promotion of economic growth in the region. Over the years, The Port of Dover have played a vital role in the economic development of southeastern England. We have served as a key hub for travel and trade, connecting the UK to markets across Europe and beyond. With this in mind, Dover Harbour Board has overseen numerous expansion and modernisation projects to ensure that the Port remains a world-class facility that can meet the evolving needs of the shipping industry.

Transport

AI and Machine Learning

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

15 May 2024

27 May 2024

HUM-025534


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.

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.

Due to the nature of the funding, KTP Associates who have already completed a KTP are not eligible to apply.

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.
Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.