Data Scientist Research Associate

We are seeking a Research Associate who will be responsible for the development of a data analytics framework for intelligent building performance modelling. The framework is expected to combine diverse input including data from smart monitoring data streams, and provide insights with respect to energy efficiency, and occupants’ performance. The project will focus on School buildings, and will involve the collection of smart sensing data from operational buildings. This is an exciting opportunity to work in an innovative project in the construction industry, with the benefit of access to academic research, supervision, support and advice.

The Associate will be based in Baxall Construction Ltd’s premises in Paddock Wood and will work closely with the support and guidance of Dr. Christos Efstratiou, Dr. Fernando Otero from the School of Computing, and Prof. Marialena Nikolopoulou from the School of Architecture and Planning, at the University of Kent. At the end of the fixed term contract, and upon successful completion of the project, there is a possibility that the role could become a permanent full-time position.

As a Research Associate you will

• Explore the application of data analytics techniques in building design, construction and building and occupant performance datasets.
• Process, clean and verifying the integrity of data coming from different sources.
• Design and implement unsupervised and supervised data analysis methods.
• Lead the deployment of building-monitoring sensing technologies and managing the collection and processing of monitoring data.

You will be able to bring to the role 

• Background in an area relevant to Computer Science, Data Science, Artificial Intelligence or closely related disciplines.
• Excellent understanding of machine learning techniques, such as decision trees, K-means, random forests

If you have the qualifications and expertise we are looking for, we would welcome your application. Please see the links below to view the full job description and to apply for this post. For further information regarding the application process, please contact peopleserviceshr@kent.ac.uk.

Further details:   

Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.

Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.

The University of Kent values diversity and promotes equality at all levels.

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