KTP Associate (equivalent to Research Associate) on the KTP project: “Automated Control of Services in Smart Buildings with Machine Learning’’

Atamate Ltd offices, Headington, Oxford
KTP Associate (equivalent to Research Associate) on the KTP project: “Automated Control of Services in Smart Buildings with Machine Learning’’
Fixed term for up to 3 years
Grade 7: £32,236 - £39,609 p.a.

This UKRI InnovateUK funded Knowledge Transfer Partnership (KTP) supports a three-year collaboration between Oxford University and Atamate Ltd, towards knowledge transfer and development of new high-tech solutions for the company. The principal focus of the KTP project is on translation of research that resides in the university research group into new products or services for the company. Consequently, the KTP Associate position suits a candidate looking to straddle the academic and business environments. This position provides additional benefits, including funding for career development opportunities, such as training and conference attendance.  Please note that you would need to be able to take up the post by 28 June 2019.

You will be employed by the University of Oxford, Department of Computer Science as a Research Associate, working with Prof Alessandro Abate (see https://www.oxcav.org/) and will be based at the Atamate Ltd. Oxford office (see https://www.atamate.com). You will be responsible for delivering the objectives, including delivering advanced, automated, and holistic control of smart building services. State-of-the-art machine learning (ML) will integrate sensor data and observed usage patterns for service control. The overall aims are to lower the environmental impact of a building, to reduce its operational costs, whilst improving comfort and security.

The primary selection criteria are an MPhil/Masters or doctorate in Computer Science, Engineering, Mathematics, or related discipline together with relevant experience in the areas of this project (in particular, an emphasis on mathematical modelling and Machine Learning), coding experience with a procedural language, such as Python, C/C++, or Java, and expertise in computational methods, mathematical modelling, numerical methods, or code development. 

For further details and to apply please visit: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=140314    

The closing date for applications is 12 noon on 29 April 2019.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.