Prognostics Engineer with Machine Learning - KTP Associate

Logo for University of Portsmouth
Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Organisation
University of Portsmouth
Locations

Portsmouth, United Kingdom

Application Deadline
Salary
£30,000 - £40,000

The University of Portsmouth is an ambitious institution with a track record of success. One of only four universities in the south east of England to achieve a Gold rating in the Teaching Excellence Framework and ranked in the top 150 in the Times Higher Young University World Rankings.

In collaboration with Subsea Craft Ltd, the University of Portsmouth is seeking an innovative and motivated graduate to develop a prognostic software tool for marine vessels. Interviews in person at the company headquarters in Portsmouth. Prior completion of Application Form is essential.

The Company

SubSea Craft is a privately-funded SME delivering Advanced Maritime Technology. Our core product is VICTA, a Diver Delivery Unit - a surface submersible craft designed to operate at speed over range and capable of rapid transition beneath the surface to operate submerged, enabling the discreet delivery and recovery of divers. It is a unique, innovative British product focused primarily on the defence market but with utility beyond. More information can be found in https://subseacraft.com

The Project

The project will involve two KTP associates developing this software tool, responsible for developing the machine learning-based prognostic algorithm and the software that encapsulates the algorithm. This position is for machine learning-based prognostic algorithms. The challenge is to develop prognostic algorithms for a predictive maintenance tool to provide through-life-support for small marine vessels that can;

  • Model life cycles of multiple marine vessel components
  • Detect fault indicators on these components (e.g. diesel engine, battery)
  • Estimate remaining useful life for these components

These algorithms will need to be capable of running during online and offline operation.

You will be joining a large, friendly team, based at company headquarters in Portsmouth. In the role you will be actively supported by knowledge transfer specialists from the University of Portsmouth, with expertise in innovation, machine learning, condition monitoring, and embedded systems. The project is jointly funded by SubSea Craft Ltd.

The role

This is an exciting opportunity open to a candidate with masters or Ph.D. qualification in mathematics, computer science, engineering, or other relevant subject. The post will provide the individual with an opportunity to make a significant contribution to the company’s innovation. The post holder will identify opportunities offered by machine learning and artificial intelligence within SubSea Craft. The successful applicant will be highly motivated and able to demonstrate some previous successful experience in a relevant role.

The University of Portsmouth believes this role is eligible for sponsorship with UKVI under the Skilled Worker Route visa, and meets the minimum salary requirements to obtain the minimum points requirement.

We kindly ask that candidates do not send CVs or cover letters as these will not be considered.

Candidates are invited to contact Prof. Victor Becerra (victor.becerra@port.ac.uk) to discuss the post.

As an equal opportunities employer, we welcome applications from all suitably qualified persons and all appointments will be made on merit. As we are committed to the principles of the Race Equality Charter Mark, we would particularly welcome applicants from Black, Asian, or from other ethnic groups who are currently under-represented at this level in this area.

Closing date: 15 February 2022

Interview date: 23 February 2022


Apply

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

Luiss Guido Carli

Roma

February 15, 2022

Foreign Commonwealth & Development Office

February 07, 2022

Qualifications Wales

February 01, 2022

Lloyd’s Register Foundation

February 06, 2022

NSPCC

February 08, 2022

Decision Analysis Services Ltd (DAS)

January 31, 2022

Home Office

January 30, 2022

Our Partners

Logo for Dstl
Logo for Prifysgol
Logo for Bank Of England
Logo for Cma
Logo for Frontier
Logo for Logo
Logo for Mit Logo

Like what you see?

Post a job