Fully funded PhD Studentship in Machine Learning for the Building Industry and PropTech - developing design models and processes for environmental, social, and economic changes.
The PhD is an AHRC-funded Collaborative Doctorate between The Royal College of Art and AKT II (Consulting Structural and Civil Engineers). The studentship will commence in October 2019.
This research aims to develop design models and processes based on machine learning needed by spatial designers working on architectures that adapt their performance to environmental, social, and economic changes, use less energy, and provide better environmental comfort and space efficiency than static buildings. The PhD will explore an interdisciplinary methodology that brings together statistical and computational methods of analysis from engineering and the sciences and typological design and research methods from an architectural context. The use of rigorous statistical methods through machine learning algorithms, will provide novel ways to analyse and inform emerging spatial design processes.
Applicants should have a good undergraduate degree in a relevant discipline, and a Masters-level qualification or equivalent which meets AHRC requirements for research training. Applicants with relevant work/professional experience who are considering doing a PhD are also encouraged to apply.
Competitive candidates will have advanced computational skills (with a computer science background or equivalent experience highly desirable) and a degree or equivalent experience in architecture or structural engineering.
For more project information and how to apply for the studentship, please visit the London Arts & Humanities Partnership (LAHP) website: https://www.lahp.ac.uk/current-collaborative-doctoral-award-studentships-2019-20/
Informal enquiries on the content of the research topic should be emailed to Sam Jacoby, [Email Address Removed]
Deadline for application: 23 April 2019
The studentship is for UK and EU students only and includes a stipend at Research Council UK 2019/20 rates of £17,009 per annum (plus fees at home/EU rates) for three and half years. The awarded candidate will also be entitled to a £550 per annum stipend top-up. As a LAHP student, the successful candidate will have full access to the LAHP Doctoral Training Partnership development activities and networking opportunities, joining a cohort of about 90 students per year. Studentships can be either full or part-time.