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Position: Research Fellow/Senior Research Fellow in Energy and Artificial Intelligence
Institution: University College London
Department: The Bartlett School of Environment, Energy and Resources
Location: London, United Kingdom
Duties: The Research Fellow will join the Energy and Artificial Intelligence group to contribute to an industrial collaboration involving Igloo Energy funded under the BEIS Smart ENergy Savings (SENS) call. The project aims to utilize Artificial Intelligent learning algorithms trained on customer energy consumption data from a large scale trial to understand which customers can benefit from different energy saving technologies such as smart thermostats. The Research Fellow will apply Artificial Intelligence (AI) and machine learning to large sets of energy data, data, develop and deploy AI recommendation algorithms based on reinforcement learning to interact with customers through the Igloo app, build predictive algorithms to forecast energy consumption using machine learning, write manuscripts for publication and present at conferences
Requirements: The ideal candidate is a highly quantitative, analytical person with an expert knowledge of machine learning and Artificial Intelligence and a keen interest in the energy sector and energy data. A PhD or near to completion, or commensurate research experience in computer science, engineering, data science, mathematics, statistics or related fields is essential, together with one or more academic publications in a refereed journal
   
Text: Research Fellow / Senior Research Fellow in Energy and Artificial Intelligence, - Ref:1827113 Click here to go back to search results Apply Now UCL Department / Division The Bartlett School of Environment, Energy and Resources Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7, £35,965-£43,470 per annum, Grade 8, £44,674-£52,701 per annum Duties and Responsibilities The Bartlett School of Environment, Energy & Resources (BSEER) is home to four Institutes that specialise in Energy, Environment, Resources and Heritage. The Research Fellow will join the Energy and Artificial Intelligence group to contribute to an industrial collaboration involving Igloo Energy funded under the BEIS Smart ENergy Savings (SENS) call. The project aims to utilize Artificial Intelligent learning algorithms trained on customer energy consumption data from a large scale trial to understand which customers can benefit from different energy saving technologies such as smart thermostats. The Research Fellow will apply Artificial Intelligence (AI) and machine learning to large sets of energy data, data, develop and deploy AI recommendation algorithms based on reinforcement learning to interact with customers through the Igloo app, build predictive algorithms to forecast energy consumption using machine learning, write manuscripts for publication and present at conferences. The post has funding until the 31 December 2020 in the first instance, further funding to support the post may be available. Key Requirements The ideal candidate is a highly quantitative, analytical person with an expert knowledge of machine learning and Artificial Intelligence and a keen interest in the energy sector and energy data. A PhD or near to completion, or commensurate research experience in computer science, engineering, data science, mathematics, statistics or related fields is essential, together with one or more academic publications in a refereed journal. To be considered for appointment at Grade 8 candidates must have experience managing and running research projects and the ability to define new research challenges and make substantial contributions to research funding proposals. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for this vacancy click on the Apply Now button below. If you have any queries regarding the vacancy or the application process, please contact: bseer-recruitment@ucl.ac.uk We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 17 Nov 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. RF/SRF in Energy & Artificial Intelligence job description & person specification Apply Now
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