CEMS-252-23 - Data Scientist Research Associate

University of Kent
December 13, 2023
Offerd Salary:£35,242 to £40,000
Working address:N/A
Contract Type:fixed term contract,
Working Time:Full time
Working type:N/A
Ref info:N/A

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Data Scientist Research Associate School of Computing Location: Other

Salary: £35,242 to £40,000 per annum inclusive of KTP supplement (may be negotiable in line with skills/experience) Grade: Grade 6 Post Type: Full Time Contract Type: Fixed Term - 9 Months Release Date: Friday 17 November 2023 Closing Date: 23.59 hours GMT on Wednesday 13 December 2023 (unless otherwise stated) Reference: CEMS-252-23

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 [email protected].

    Further details: Job Description Additional Information

    Apply Online

    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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