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Software Engineer for Data Science Application KTP Associate

University of Portsmouth - School of Energy & Electronic Engineering

Faculty of Technology

Employment type:  Fixed-term (2 years)

Interview date: 11 January 2023

Second Interview: 18 January 2023 

The University of Portsmouth, in collaboration with Subsea Craft Ltd, 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 objective of this KTP is to develop a through-life-support software tool based on a prognostic algorithm for marine application, which will enable the company to benefit from reduced maintenance costs and increased availability of the vessels. 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, respectively. This position is for software development for both Windows and Linux platforms.

You will be joining a friendly team based at the company in Portsmouth. In the role, you will be actively supported by knowledge transfer specialists with expertise in innovation, machine learning algorithm/software development and condition monitoring from the University of Portsmouth.

The Role

This is an exciting opportunity open to a candidate with a masters or Ph.D. qualification in computer science, software engineering, or other related areas. The post will provide the individual with an opportunity to make a significant contribution to the company’s innovation policy. 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 may be eligible for sponsorship with UKVI under the Skilled Worker Route visa. Please familiarise yourself with the requirements set out before applying for this role. If you are unable to meet the requirements for sponsorship you will need to confirm details of an alternative visa to work in the UK when applying for this role. 

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

We are strongly dedicated to embedding equality, diversity and inclusion (EDI) within our community. As an Athena SWAN and Race Equality Charter award holder, a member of Stonewall and a Disability Confident Employer we are passionate about creating a welcoming and inclusive environment, regardless of your background. We welcome applications from all talented people. In addition, we want our workforce to be representative of our diverse student population.Please see our EDI Framework and objectives

Information about us and our benefits.

For detailed information about the vacancy:  ZZ007820-1 - Software Engineer for Data Science Application – KTP Associate.docx

To find out more about the University of Portsmouth and this role, click on apply and apply on-line. 

It is the policy of the University to only accept applications submitted using the University’s application form.

All applications for this position will be processed and conducted in compliance with UK legislation relevant at that time.

Location: Portsmouth
Salary: £35,000 per annum plus personal training budget
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th November 2022
Closes: 1st January 2023
Job Ref: ZZ007820-1
   
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