The University of Wolverhampton

Research Associate - QNRF ADSPE Project

Location
Springfield Campus
Faculty/Department
Faculty of Science and Engineering
Contract Type
Temporary
Advert Status
Salary
31,865 - 34,803 pa
Closing Date
07/02/2021
Job Reference
12438

Temporary post until 31st March 2022

 

Applications are invited from suitably qualified candidates for the post of Research Associate for Automated Design Decision Support Software for Productive Indoor Environment (ADSPE) Project. The University of Wolverhampton is making a significant strategic investment of £100M to establish a dedicated campus with new facilities for the School of Architecture and Built Environment on a 12-acre city centre brownfield regeneration site as part of the City of Wolverhampton canal-side redevelopment. The School of Architecture and Built Environment is one of five Schools forming the Faculty of Science and Engineering and is based in the city centre of Wolverhampton. With excellent industrial links, active research programmes and professionally accredited courses, the School is committed to further growing its existing research and consultancy provision.

 

The School has recently been successful in obtaining the ADSPE project, which is funded through Qatar’s QNRF funding. The ADSPE project is funded through the Qatar National Research Fund’s National Priority Research Program. Building on successful work undertaken in previous NPRP Research project, this project aims to develop a novel platform to allow designers to model and simulate the productivity of the occupants of office buildings during the design stage. The previous study generated trained Neural Network models that can predict occupant productivity based on indoor environmental parameters. This innovation significantly enhanced the Global Sustainability Assessment System (GSAS) by incorporating elements of occupant productivity, health and well-being and behaviour change, making it the pioneer among green building guidelines globally. This new project will advance this work even further by integrating the Artificial Neural Network (ANN) with existing design tools within a BIM framework. This will revolutionize the design process by providing a new range of feedback data to the design team, allowing them to design buildings to ensure maximum productivity of the occupants.

 

You must have a Postgraduate degree in a subject related to computing and/or Architecture related subjects. You should experience undertaking independent research presented in high-quality reports or papers. Knowledge and Research in the field of application of ANN, BIM and AI sector would be beneficial. A well-established research record would be a distinct advantage, as would experience the development of a software platform.

 

For informal discussions regarding the post, contact the Head of School; Prof Mohammed Arif, (01902 322261, mohammed.arif@wlv.ac.uk).


The University of Wolverhampton values a diverse workforce and welcomes applications from all sections of the community.

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