Computer Vision AI Researcher (KTP Associate)

KTP

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at: www.ktponline.org.uk

THE PROJECT

The University of Essex, in partnership with Tritonia Scientific, offers an exciting opportunity to a graduate with the relevant skills and experience to develop sophisticated Machine Learning techniques to accelerate the processing of seabed data received from georeferenced 3D photogrammetry. The successful applicant will be embedded in a dynamic team developing state-of-the-art computer vision and AI software for marine surveying and will have the opportunity to work with stakeholders around the UK and abroad on impactful environmental projects.

This post is fixed term for 30 months and is based at Tritonia Scientific’s offices in Oban, Scotland.

DUTIES OF THE POST

The duties of the post will include:

• To research and develop Machine Learning techniques to speed up the analysis of georeferenced 3D photogrammetry data, in collaboration with the project team.
• To enhance the existing Hydrophis platform at Tritonia to ensure the available data and reporting is usable and easy to interrogate for clients.
• To research, and put into practise throughout the project, the various legislative requirements of different sectors within the marine industry.
• To act as project lead, to progress the project and ensure milestones are met to a timely manner.

KEY REQUIREMENTS

• A minimum of an MSc in Computer Science, Mathematics, Natural Sciences or a similar discipline.
• Experience of handling large and complex datasets.
• Skilled in higher level programming languages such as Python, Java and/or C++.
• Knowledge of machine learning techniques such as regression, classification and deep learning.
• Experience/knowledge of appropriate frameworks and methods for testing and evaluating machine learning models.
• Experience of 3D photogrammetry and georeferencing technology.
• Ability to present technical information to a high standard for people from varied technical/non-technical backgrounds.
• Ability to lead a complex project with competing deadlines and priorities.
• Excellent communication skills.
• Excellent command of written and spoken English.

BENEFITS

As a KTP Associate, the post will offer the following benefits:

• A personal development budget of £5000 (exclusive of salary).
• Management training and mentoring by an Innovate UK KTP Adviser.
• An interesting and challenging role, with exposure to a variety of stakeholders.
• Full access to university resources to complete the project.
• World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

LOCATION

Tritonia Scientific Ltd

Dunstaffnage Marine Laboratories

Dunbeg

Oban

Argyll

PA37 1QA

Hybrid working will be available. (See general information section of job pack for further details.)

Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.

Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk.

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