AI and Machine Learning Researcher - KTP Associate

This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI-enabled system to automatically detect low-voltage services and conductors from image data and use sophisticated machine learning models to infer the location of hidden or obscured conductors. You will work in SSEN's core asset data team, working collaboratively to develop tools and embed techniques to develop a user-friendly mapping solution. What you will gain:

• Develop and apply advanced AI and machine learning methods on complex, large-scale data to solve tangible infrastructure problems
• Gain hands-on experience working across multi-disciplinary teams in a large utility company serving 3.9 million customers
• Access a personal development/training budget of £2,000 a year to build further skills relevant to your future career
• Work closely with world-leading researchers at Aston University and receive mentorship and industrial experience
• Contribute to a project expected to deliver major savings and modernisation in electricity distribution, with the opportunity to publish work and attend high-profile conferences This KTP is a great opportunity for someone keen to plan and deliver business change. You will work with senior University academics and senior company staff on a commercial project which puts the latest research into practice.

• Master's degree (minimum) in Computer Science, Data Science, Computer Vision, Visual Media Engineering, or related subject focused on AI and Machine Learning

• Proficient in AI/deep learning methods, including use of convolutional neural networks

• Experience with analysis of RGB imagery and LiDAR data, particularly with regards to automatic key features extraction and fusion of features

• Skilled in feature extraction

• Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch Desirable:

• PhD in a related area

• Knowledge of reinforcement learning

• Experience integrating AI/machine learning models into business workflows

• Familiarity with GIS, vectorisation techniques, and statistical tools (e.g. SPSS)

• Understanding of regulatory and safety standards for electrical energy distribution Attributes:

• Analytical thinker who solves complex technical problems

• Able to articulate business problems, logical solutions and impactful outcomes

• Team player who works productively across locations and disciplines

• Adaptable and comfortable in a hybrid work setting (office-based with travel)

• Proactive learner who makes the most of development opportunities

• Communicates well with both technical and non-technical stakeholders

• £2000 per annum for personal and professional development for the duration of the project
• Annual leave (25 days p/a)
• Professional support and mentorship
• Mental Health and wellbeing support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing Career prospects: KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast-track their career. You will also benefit from expert coaching and mentoring. 60% of our KTP associates are offered employment by their host companies at the end of the KTP.

This is a Knowledge Transfer Partnership (KTP) funded by Southern Electric Power Distribution plc (part of SSEN) and Innovate UK. KTPs are collaborative, three-way partnerships creating positive impact and driving innovation by linking businesses with the UK's world class knowledge bases to deliver innovation projects led by skilled graduates. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit: www.aston.ac.uk/ktp Aston University: You will work in a project team with Prof Abdul Sadka and Dr Hassan Aqeel Khan from Aston University and the Senior Team members at SSEN with further support from an Innovate UK Knowledge Transfer Adviser. Location: You will be based predominantly at SSEN in Thatcham with regular visits to the Reading offices and the opportunity to visit Perth Headquarters in Scotland. You will also have access to facilities at Aston University in central Birmingham. Some travel to other sites may also be required. This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities. See the Home Office guidance: https://www.gov.uk/global-talent