Research Associate in Agent Based Modelling and Simulation
University of Sheffield - School of Architecture
|Salary:||£30,175 to £38,183 per annum pro rata (Grade 7)|
|Contract Type:||Contract / Temporary|
|Placed on:||14th October 2016|
|Closes:||27th October 2016|
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Contract Type: Fixed term until 31 July 2018
Working Pattern: Part-time working 58.28% commitment, working pattern to be agreed.
Faculty: Faculty of Social Sciences
The School of Architecture is one of the best in the UK, and is one of the top five research schools of architecture. The School is an exceptionally dynamic, diverse and international department with a lively and engaged student body and a large graduate school. We have consistently been rated at the highest level for the quality of our research and teaching. Following on from excellent ratings (Grade 5) in the two previous Research Assessment Exercise, SSoA is the only School in the UK to have achieved and maintained this level of research performance, the culmination of a long history with contributions from generations of scholars, researchers and students. Live projects, working with real clients in the community, are an important aspect of what we do. It is for this reason that we enjoy a reputation for being perhaps the most socially and politically engaged school of architecture in the UK. The postholder will be joining a team of researchers supporting research in the School.
This is a unique research opportunity for an excellent researcher who is interested in non-domestic building energy management and has a PhD or equivalent in agent-based modelling and simulation. You will be working alongside Professor Darren Robinson on an Engineering and Physical Sciences Research Council (EPSRC) funded grant, “unlocking the potential of model predictive control in non-domestic building energy management”. The purpose of the post is to improve the fidelity of building energy performance simulations for the training and evaluation of new model predictive control algorithms. More specifically, the postholder will help to develop a new multi-agent stochastic simulation platform, interfaced with the dynamic simulation program Energy+, and to deploy this platform to simulate the dynamic behaviour of non-domestic buildings accounting for the stochastic presence and behaviours of their occupants’.
The RA will be involved in all aspects of the project, including publication and dissemination, and will have both Masters level experience in computational sciences as well as a PhD in modelling and simulation. Experience in leading the development of complex object-oriented software is essential to the post.
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