Research Fellow in ML/AI

About the role

The School of Engineering, Computing and Mathematics (SECaM) wishes to recruit a Postdoctoral Research Fellow to support the work of Prof Lars Johanning on a research project funded through the UoP International Collaboration Investment Fund project 'OcEn’.

The project aims on user-inspired research that conceptualizes and utilizes ocean energy systems to achieve just, environmentally responsible, and climate responsive futures. An overview of the project can be found here.

This is a full-time position working 37 hours per week on a fixed-term basis due to funding.  This position is anticipated to commence 1st of July 2025 for 36 months. The role would be based at the campus of The University of Plymouth. You will be appointed at Postdoctoral Research Fellow (Grade 7) depending on the skills and experience the individual can bring to the role.

About the role:

The project is an interdisciplinary, cross-country collaboration with leading global research Universities from US, Canada and Australia. The focus of the post will be to develop an AI enhanced multi-fidelity coupled modelling methodology for ORE systems, combining numerical solvers and ML models of different fidelity and different scale, together with data streams from laboratory experiments (and field deployments).

What we’re looking for:

We’re looking for an individual, with appropriate skills in developing agile, digitally enhanced representation of physical objects in a dynamic cyber-physical system with both real and virtual systems adapting though two-way information flow. You will possess a PhD in a relevant research area and be able to demonstrate sufficient knowledge in ML as well as an appreciation of the research methods and techniques to work within established research programmes. At Postdoctoral Research Fellow level you will be a nationally recognised authority in the field of AI concerned with the development and study of statistical algorithms (additional background in offshore renewable energy would be an advantage). You will also be able to work collaboratively, present information on research progress and outcomes and be able to develop research programmes and methodologies.

The successful candidate may be required to obtain an ATAS Certificate prior to this research being undertaken.

For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools

Remote working is available up to 3 days a week.  Although we can accommodate hybrid working, flexibility to be on-site will be expected depending on business needs.

For an informal discussion to find out more about the role then please contact Lars Johanning: by email at lars.johanning@plymouth.ac.uk by telephone on 07867656923

Application Process

Following the closing date of the vacancy, you will be notified on the outcome of your application in due course.

Anticipated Interview Date:  Monday 24 March 2025

Our Offer

When joining us, you will receive:

• Generous annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days
• Generous pension scheme
• Cycle to Work & Electric Car Scheme
• Employee Assistance Programme
• Development opportunities
• Enhanced family leave
• Flexible working
• Retailer discounts
• On-site nursery

A summary of our comprehensive benefits can be viewed here.

Closing date:  12 midnight, Sunday 16 March 2025

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