Machine Vision/Learning Engineer (KTP Associate)

Job Summary

This is an exciting opportunity for an ambitious Data Scientist to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate, utilising skills in Data Science with a specific focus on Computer Vision Machine Learning, Deep Learning, and Augmented Reality. You will undertake a 24-month collaborative project between AISUS Offshore Limited https://www.aisus.co.uk/ and Robert Gordon University (School of Computing), jointly funded by Innovate UK and AISUS. The post will be based at the company’s offices in Aberdeen. Your responsibility will be to gather and analyse vast volumes of complex inspection data from various sources, ensuring its quality, consistency, and relevance for further use in computer vision/AR applications. You will collaborate closely with domain experts and data engineers at the company to understand the specific requirements of inspections tasks and inspection data, and utilise your expertise in Computer Vision and Deep Learning to automate inspection tasks.

AISUS is an established player in the offshore energy industry, offering innovative remote inspection solutions that tackle critical industry challenges. AISUS provides inspection and cleaning services for components in the Offshore Platforms, FPSO, Renewables, Drilling, Marine, and Decommissioning sectors. Their state-of-the-art inspection technology, coupled with a highly specialised team, ensures client-centric service delivery, enabling clients to understand the condition of structural components, thus reducing risk.

With innovation at its core, AISUS designs its tools for compactness and quick setup, facilitating transportation an on-site operation. This approach allows AISUS to offer efficient, safe, and cost-effective solutions tailored to the specific requirements of each project.

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. You will also benefit from a Personal Development Budget of £4,000.

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 Data Science or a PhD in a relevant field would be highly desirable. You should be self-motivated with an ability to work independently and to tight deadlines within a dynamic and small team environment. In addition, you 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 and applied computer vision 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.

Salary Range: 30,000- £37,500, plus £4,000 training budget

Position Type: Full Time, Fixed Term 2 years.

Hours: 8 hours per day, on an indicative basis of 0800 – 1700 each day.

Annual Leave: 28 days paid annual leave each year including public or local holidays.

RGU's ultra-modern campus, located on the outskirts of the vibrant and prosperous city of Aberdeen, offers a superb place to live, work and develop your career. A relocation package is available to assist with your transition to RGU, where you’ll enjoy working in one of the most impressive university settings in the UK, with first-class educational infrastructure and outstanding sporting and leisure facilities, all set against a stunning rural backdrop on the banks of the river Dee. More information can be found on our relocation pages

Informal enquires may be sent to: Professor Eyad Elyan at e.elyan@rgu.ac.uk and Barry Marshall barry.marshall@aisus.co.uk

 

JOB DESCRIPTION

RESPONSIBLE TO: Whilst working on company premises report to and take direction from the Company Supervisor, Luis Toral. Whilst working at Robert Gordon University premises 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 AISUS Offshore Limited.
• Take a leading role in developing a set of methods for exploration, visualising, pre-processing and handling large volumes of complex multimodal inspection data
• Take a leading role in designing, implementing, and evaluating a set of intelligent computer vision methods for automating various inspection tasks
• Create and evaluate a range of anomaly detection methods using state-of-the-art machine learning and deep learning models.
• Develop a functional framework that enables real-time analytics and visualisation of inspection data collected from various sensors including HD Cameras of Oil and Gas assets.
• 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 machine learning, anomaly detection, and real-time analytics of streaming data.
• Explore, understand, and critically evaluate existing technologies and practices in use at the company.
• Take a leading role in developing and evaluating the intelligent model’s anomaly detection and visualisation.
• 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

Qualifications and Professional Memberships

First-Class Honours degree in Computing, Data Science, Machine Learning, or a strongly related discipline.

Knowledge and skills

• Strong knowledge of data exploration, cleaning and pre-processing
• Strong knowledge of machine learning, deep learning, and applied 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 and other vision libraries such as OpenCV
• Strong programming and scripting skills.
• Good communication and interpersonal skills
• Report writing skills and very good problem-solving skills.
• Self-motivated with an ability to work independently and to tight deadlines within a dynamic and small team environment.
• An ability to undertake independent research and development analysis.
• Willingness and ability to learn quickly.
• Team working and flexibility

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

DESIRABLE REQUIREMENTS

Qualifications and Professional Memberships:

Postgraduate or a PhD degree in Computer Vision, Machine Learning or similar field.

Knowledge and skills

• Knowledge of Deep Learning, Deep Sequence Models and Time Series Analysis is highly desirable
• Knowledge or prior experience working in the industry sector
• Enthusiasm for applying advanced methods to real-world problems

Experience

• Experience of deploying AI-based solutions locally or on the cloud
• Experience of cloud systems such as AWS, AZURE or similar platforms