KTP Associate in Computer Vision Engineering

Job Summary

This is an exciting opportunity for an ambitious Computer Science Graduate to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate, utilising skills in Machine Learning with a specific focus on Deep Learning for Video Analysis and Computer Vision related tasks. You will undertake a 24-month collaborative project between Fennex Ltd fennex.net and Robert Gordon University (School of Computing, Engineering and Technology), jointly funded by Innovate UK and Fennex. The post will be based at the company’s offices in Aberdeen.

As a KTP Associate you will be responsible for pre-processing and analysing video data, and training advanced AI models capable of tracking, detecting objects in real-time or near real-time, and anticipating potential hazards to improve safety. You will collaborate closely with the team at Fennex to understand the specific requirements of the project.

Fennex is an innovative technology company. A trailblazer with a determination to accelerate the digital transformation of the energy sector, the company was founded in 2016 by energy industry professionals with more than 25 years’ global industry experience. Our dynamic team combine state-of-the-art cloud-computing technologies with deep-industry domain knowledge to help companies unlock the full potential of data through innovative solutions and rapid deployment experience.

You will receive extensive practical and formal training, gain marketable skills, broaden their knowledge and expertise within an industrially relevant project, and gain valuable experience from industrial and academic mentors. The KTP Associate will also benefit from a Personal Development Budget of £4000.

You must have at least a first-Class Honours degree in computing, machine learning, AI or strongly related field or higher. A postgraduate degree such as MSc in Machine Learning, Computer Vision or a PhD in a relevant field would be highly desirable. The candidate should be self-motivated with an ability to work independently and to tight deadlines within a dynamic and small team environment. In addition, they must have strong programming skills as well as a genuine enthusiasm for applying advanced methods to a real-world problem. Strong knowledge and understanding of programming languages such as R, Python, or similar language is essential. Experience with modern deep learning frameworks such as PyTorch or Tensorflow is a must.

Excellent communication and interpersonal skills are required, as you must be able to communicate effectively with a range of different individuals. i.e., technical, academic, business and customers. Team working and flexibility will be a key requirement. Candidates must be innovative, driven and willing to learn new skills.

Salary Range: £35-38k, plus £4,000 training budget

Position Type: Full Time, Fixed Term 2 years.

Location Aberdeen Fennex Offices and RGU.

Hours: 37 ½ hrs per week – typically 8:30 to 17:00 with breaks

Annual Leave: 29 days per year.

Informal enquires may be sent to: Professor Eyad Elyan at e.elyan@rgu.ac.uk and callan.noble@fennex.net at Fennex Ltd.

This post is subject to a Disclosure Scotland check. For more information visit: www.mygov.scot/basic-disclosure

As per the UKVI immigration rules, this role may be eligible for sponsorship under the Skilled Worker route.  Sponsorship under this route is dependent on factors specific to the applicant and if tradeable points can be used under the rules. For KTP’s we will also consider eligibility under the Global Talent Visa route.