KTP Associate in Computer Vision Engineering
- Location:
- Various RGU partner locations, AB10 7AQ
- Salary:
- £35,000 - £38,000 per year
- Contract Type:
- Temporary
- Position Type:
- Full Time
- Hours:
- 37.5 hours per week
- Work From Home:
- Hybrid
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 https://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 £4000 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: https://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.
Job Description
RESPONSIBLE TO: Whilst working on company premises report to and take direction from Dr Callan Noble at Fennex. Whilst working at Robert Gordon University report to and take direction from Professor Eyad Elyan and the supervision team.
RESPONSIBLE FOR: No Supervisory Responsibilities
PURPOSE OF POST:
- Transfer knowledge of data science and state-of the art machine learning techniques to Fennex.
- Take a leading role in developing a set of methods for exploration, visualising, pre-processing and handling large volumes of Videos related to safety in the Oil and Gas Sector
- Take a leading role in designing, implementing, and evaluating a set of intelligent and data-driven methods for recognising and anticipating specific actions within videos.
- Create and evaluate a range of anomaly detection methods using state-of-the-art machine learning and deep learning models.
- Create and develop tools to embed the above directly into one of Fennex’s HSE solutions (Microsoft, Azure based)
- Develop technical and personal skills (verbal and written) to meet the requirements of increasing responsibility and experience level.
PRINCIPAL DUTIES:
- Deliver the project objectives as detailed in the KTP project workplan.
- Undertake an in-depth and critical literature review in computer vision, anomaly detection, and human behaviour and actions within a working environment.
- Explore, understand, and critically evaluate existing technologies and practices in use at the company.
- Take a leading role in developing and evaluating AI models for solving complex computer vision tasks.
- Maintain an up-to-date project plan and provide regular progress reports.
- Deliver presentations to immediate project team members and technical experts.
- Any other duties that maybe reasonable, assigned by the Academic Supervisor/ Company Supervisory teams.
Person Specification
ESSENTIAL REQUIREMENTS
Qualificatins and Professional Memberships
First-Class Honours degree in Computing, Computer Vision, Data Science, Machine Learning, or a strongly related discipline.
Knowledge
Strong knowledge of images and video data exploration, cleaning and pre-processing
Strong knowledge of machine learning, deep learning, and the underlying theories with good knowledge of computer vision.
Strong knowledge and understanding of programming languages (e.g., R, Python, or similar)
Strong knowledge of modern deep learning frameworks such as Tensorflow, PyTorch or similar
Experience
Experience in Data science/ Machine Learning related discipline.
Technical experience in designing, developing, and evaluating data-driven solutions using machine learning and/or deep learning frameworks
Experience of deploying AI-based solutions locally or on the cloud
DESIREABLE REQUIREMENTS
Qualifications and Professional Memberships
Postgraduate or PhD degree in Computer Vision, Machine Learning or similar field.
Knowledge
Knowledge of Sequence Models, Transformers, and Attention-based Methods.
Experience
Knowledge or prior experience working in the industry sector would be highly desirable.