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Position: Research Fellow/Senior Research Fellow in Machine Learning for Climate Science
Institution: University College London
Department: Computer Science
Location: London, United Kingdom
Duties: The Statistical Machine Learning Group is part of the Centre for Artificial Intelligence at UCL and has a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to investigate the usefulness of statistical machine learning models (e.g., spatio-temporal models, deep probabilistic models) to support climate science and climate action, e.g., by designing faster simulators and predictors or developing specific tools for analyzing environmental data
Requirements: The successful applicant will have a PhD by the time of starting the position, either in machine learning, statistics, computer science, climate science or a different relevant area. They should have a track record of internationally recognized research and be able to work as part of a team. Research skills, ability to analyse and write up data, effective written and verbal communication skills are essential
   
Text: Research Fellow/Senior Research Fellow in Machine Learning for Climate Science, - Ref:1840778 Click here to go back to search results Apply Now UCL Department / Division Computer Science Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7 £35,965 to £43,470 per annum or Grade 8 £44,674 to £52,701 per annum Duties and Responsibilities The Statistical Machine Learning Group is part of the Centre for Artificial Intelligence at UCL and has a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to investigate the usefulness of statistical machine learning models (e.g., spatio-temporal models, deep probabilistic models) to support climate science and climate action, e.g., by designing faster simulators and predictors or developing specific tools for analyzing environmental data. The post is graded as Grade 7 or Grade 8, with starting salary in the range £35,965 to £43,470 (Grade 7) or £44,674 to £52,701 (Grade 8) per annum (including London Allowance). Progression through the salary scale is incremental. The funding for this post is for 24 months in the first instance. Key Requirements The successful applicant will have a PhD by the time of starting the position, either in machine learning, statistics, computer science, climate science or a different relevant area. They should have a track record of internationally recognized research and be able to work as part of a team. Research skills, ability to analyse and write up data, effective written and verbal communication skills are essential. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. If you have any queries regarding the vacancy or the application process, please contact Dr Mark Deisenroth via email: m.deisenroth@ucl.ac.uk UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 11 Dec 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. Job description and person specification Apply Now
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