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Project title: Analytics for Smart Buildings

Loughborough University - School of Architecture, Building and Civil Engineering

Qualification Type: PhD
Location: Loughborough
Funding for: UK Students, EU Students, International Students
Funding amount: £15,009 per annum
Hours: Full Time
Placed On: 30th July 2019
Closes: 22nd September 2019
Reference: ABCE19/R75b
 

Application details:

Reference number: ABCE19/R75b
Start date of studentship: 1 January 2020
Closing date of advert: 22 September 2019

Interview date: tbc

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more: www.lboro.ac.uk/study/postgraduate/supporting-you/research/  

In the 2014 Research Excellence Framework, the School of Architecture, Building and Civil Engineering was ranked first for research environment in Architecture, Built Environment and Planning, with 95% of research rated ‘world-leading’ or ‘internationally excellent’ for its influence on society, the economy and policy. The School boasts world class facilities, with £1.4m recently invested in its 3,000m2 laboratory and one of the fastest High-Performance Computer clusters in the UK.

Full Project Detail:

Applications are invited for a doctoral researcher focusing on the development of data-driven modelling techniques to understand the operational performance of buildings.

With the digitisation of our energy system and the introduction of the internet of things, buildings are being sensed more than ever before. The data gathered from a fully sensed home or workplace could be used to develop bespoke calibrated models, or operational digital twins. The research challenge is determining what needs to be sensed, how many sensors need to be used, and at what time scale data needs to be collected to develop accurate representations.

This position will work towards discovering the trade-off between data availability and model accuracy using data collected from 20 highly sensed homes. The successful candidate will be working with a cohort of doctoral researchers using dynamic thermal modelling and optimization techniques to aid in the operation and design of the built environment.

Find out more:

More information about the School can be found at: www.lboro.ac.uk/departments/abce/.

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant discipline. Applicants having a background in subjects relating to building energy use, mechanical or control engineering, data science, and computing science are particularly welcomed. A relevant master’s degree and/or employment experience will be an advantage.

Funding information:

The three-year studentship is intended to start in January 2020. It provides a tax-free stipend of £15,009 a year (2019/20 rates – stipend will rise in line with the level set by the Research Council) for the duration of the studentship plus tuition fees at the UK/EU rate. International students may apply but must be able to fund their own living costs as the studentship will cover international tuition fees only.

Contact details:

For information about the project, please contact:

Name: Prof. Jonathan Wright
Email address: j.a.wright@lboro.ac.uk
Telephone number: +44 (0)1509 222 621

For information about the application process, please contact:

Name: Mr Berkeley Young
Email address: b.k.d.young@lboro.ac.uk
Telephone number: +44 (0)1509 222 611

How to apply:

Applications should be made online at www.lboro.ac.uk/study/apply/research/ and must include an outline research proposal. Under programme name, please select Civil and Building Engineering (Built Environment).

Please quote reference number: ABCE19/R75b

   
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