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Kingston University in partnership with Galliford Try Construction Limited is offering this exciting opportunity on an innovative, collaborative project working towards the design and develop of a quality system integrating artificial intelligence (AI) and machine learning (ML) to support decision making to improve construction quality, thereby avoiding the significant cost of rework that is a feature of the sector.
About you
To be successful in this role, the ideal candidate will have a PhD or BSc computer science/manufacturing/design/construction or related subjects with experience in computer vision, machine learning, deep learning and image processing methods including data cleaning and migration. You will also have experience in algorithm and software development as well as deep learning platforms (e.g., PyTorch, TensorFlow).
This position not only provides the opportunity to work with both university academics and industry but also provides significant training and development opportunities.
About us
Be a part of the team which ensures academic rigour and development
The Academic Services Directorate includes Academic Registry, Quality Assurance and Enhancement and the Learning and Teaching Enhancement Centre. Collectively the Directorate supports some of the University’s governance and decision-making committees, maintains academic regulations, develops and implements academic policies, oversees the quality and standards of academic provision and leads the development of education practices across the University.
In conjunction with faculties, the Directorate is responsible for timetabling all teaching across the University, ensuring the smooth-running of exams, provide guidance on the institution’s assessment and regulatory framework, deliver statutory returns and student management information, administer formal student academic appeals, manage and oversee the operation of quality assurance and enhancement activities, academic staff development, technology enhanced learning and enterprise education.
As a directorate, we identify opportunities for innovation, see change as an opportunity, value constructive feedback and share good practice across the University.
