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Artificial Intelligence & Software Engineering (KTP Associate)

Lancaster University - School of Computing and Communications

Location: Heysham
Salary: Not Specified
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th August 2024
Closes: 9th September 2024
Job Ref: 0947-24

This position is based in Heysham, LA3 2XF

This post has been created as a result of a Knowledge Transfer Partnership (KTP) with Lancaster University’s School of Computing and Communications and Forsberg Services Ltd.  It offers a 36-month fixed term contract, with a £6,000 dedicated training budget. 

Forsberg, part of the Teleplan group, specialises in providing world-class positioning, navigation and timing (PNT) solutions across a broad range of markets. It does this by developing hardware and software products often based around Global Navigation Satellite System (GNSS, GPS) technologies and classical data processing algorithms. To research Forsberg, please visit Forsberg Services Ltd.

As KTP Associate you will lead a project which aims to develop an alternative navigation method to overcome limitations with GNSS navigation, to provide a significant enhancement in UAV navigational accuracy. 

You will be employed by Lancaster University but based at Forsberg’s premises in Heysham. You will work closely with and be supported by the senior management team at Forsberg and academics from Lancaster’s School of Computing and Communications, principally Dr Uraz Turker and Dr Charalampos Rotsos.

Lancaster University is a top-10 university in the UK and in the top-125 in the world. The School of Computing and Communications is a research-intensive department comprising over 60 academics and 170 researchers, with a grant portfolio exceeding £25m from sources including EPSRC, Innovate UK, EU and industry.  

Ideally, you will hold a master’s or PhD in a relevant field, e.g. computer science, engineering, or mathematics. Consideration will be given to candidates with a bachelor's degree (minimum 2:1) if accompanied by significant relevant work experience. You will have experience in areas relevant to the project, e.g. Al algorithms, computer vision, and sensor fusion; demonstrated through your previous study or relevant work experience. You must be able to take ownership of the project, work collaboratively and communicate effectively. 

This KTP is funded by UKRI through Innovate UK. KTPs bring together universities and business to work together on a development project that is strategically important to the organisation’s future. KTPs are delivered by graduates who enhance their career prospects by benefiting from business-based training and personal and professional development. For further information on KTPs please visit Knowledge Transfer Partnerships

Please direct informal enquiries to: 

Dr Uraz Turker, Lancaster University; u.turker@lancaster.ac.uk 

Steve Simpson, Forsberg Services Ltd; Steven.simpson@forsbergpnt.com 

Please note that the successful candidate will need to be a UK passport holder.

We welcome applications from people in all diversity groups.

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Further details:

Please note: unless specified otherwise in the advert, all advertised roles are UK based.

Find out what it's like to work at Lancaster University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.

The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues. 

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity. 

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