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A Smarter Approach to Evaluating Occupant Feedback on Buildings (Advert Reference: RDF20/EE/CIS/ROGAGE)

  • Full or part time
    Dr K Rogage
  • Application Deadline
    Friday, January 24, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

This PhD presents opportunities to explore research topics in the area of: exploitation of existing or emerging tools, technologies and techniques and their role in delivering smart building design; and ways to leverage data and information to deliver smarter buildings.

Digital innovations using machine learning, big data analysis, data visualisation and ubiquitous technologies offer new approaches to learning from previous project data which can support overcoming problems of low productivity and slow improvement in the construction industry. This project will address some of the existing challenges surrounding the current adoption of Post-Occupancy Evaluation (POE) for developing learning and improving efficiencies. The project will explore new approaches for capturing, analysing and presenting data on building performance, from building occupants, at the point of use using pervasive technologies. The PhD will offer a new approach to gaining insights into in-use building performance that can support decision making and design processes for future projects. This is an exciting opportunity to develop state of the art data capture, analysis and visualisation techniques for presenting building and feedback data in a meaningful format for practitioner use.

The principal supervisor for this project is Dr Kay Rogage. The second supervisor will be Professor Bimal Kumar.

Eligibility and How to Apply:

Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.

For further details of how to apply, entry requirements and the application form, see
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/

Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. RDF20/EE/CIS/ROGAGE) will not be considered.

Deadline for applications: Friday 24 January 2020

Start Date: 1 October 2020

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality.

Funding Notes

The studentship is available to Home/EU/ Worldwide students where a full stipend, paid for three years at RCUK rates (for 2019/20, this is £15,009 pa) and full fees.

References

Rogage, Kay, Clear, Adrian, Alwan, Zaid, Lawrence, Tom and Kelly, Graham (2019) Assessing Building Performance in Residential Buildings using BIM and Sensor Data. International Journal of Building Pathology and Adaptation. ISSN 2398-4708 (In Press)

Verweij, David, Kirk, David, Rogage, Kay and Durrant, Abigail (2019) Domestic Widgets: Leveraging Household Creativity in Co-Creating Data Physicalisations. In: RTD 2019 - Fourth Biennial Research Through Design Conference: Method & Critique: Frictions and Shifts in RTD, 19th - 22nd March 2019, Delft & Rotterdam, Netherlands.

Rogage, Kay, Lawrence, Tom and Clear, Adrian (2018) Smart Connected Homes: Integrating Sensor, Occupant and BIM data for Building Performance Analysis. In: 4th Annual Sustainable Ecological Engineering Design for Society (SEEDS) Conference, 6th - 7th September 2018, Dublin, UK.

Rogage, Kay and Gledson, Barry (2018) Exploring the development of, and initial exposure to, a BIM-enabled collaborative project information management tool. In: 34th Annual ARCOM Conference: A Productive Relationship: Balancing Fragmentation and Integration, 3-5 September 2018, Belfast.

Rogage, Kay and Watson, Richard (2018) A case study investigation of industry templates and information quality methodologies for the definition and assessment of asset information requirements. In: EduBIM2018: Teaching Days on Digital Mock-up and BIM in France - 4th edition, 15-16 May 2018, Claremont-Ferrand, France.

Rogage, Kay and Clear, Adrian (2017) Integrating sensor data with building information models: towards the design of more effective building interactions. In: 2017 Designing Interactive Systems conference, 10-14 June 2017, Edinburgh.

Kumar, B., Rahimian, F., Greenwood, D., & Hartmann, T. (2019, September). Advances in ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO): Proceedings of the 36th CIB W78 2019 Conference. In 36th CIB W78 2019 Conference: ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO). University of Northumbria, Newcastle-upon-Tyne.

Sheikhkhoshkar, M., Mir, M., Rahimian, F., & Kumar, B. (2019, September). Integrating Building Information Modelling (BIM) and System Dynamics Approaches to Decrease Cost Overrun in Mass Housing Projects. In 36th CIB W78 2019 Conference: ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO) (p. 498). University of Northumbria, Newcastle-upon-Tyne.

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