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Position: Research Fellow in the Mathematics of Machine Learning
Institution: University College London
Department: Computer Science
Location: London, United Kingdom
Duties: Undertake research in the mathematical analysis of machine learning techniques, especially in topics related to Partial Differential Equations (PDEs), optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability theory, statistics, and inverse problems; Develop computational methods that implement new theoretical results as the arise; Plan and perform computational experiments and record, analyse and provide written and/or oral reports of the results of the experiments; Keep the Principal Investigators up-to-date with the progress and timing of agreed experiments; Establish a strong multidisciplinary research environment with collaborators; Collaborate with other team members in the Math4DL consortium and with our industrial partners; Contribute to the supervision of PhD students, with the support of the Math4DL investigator team
Requirements: Applicants must hold, or be about to receive, a PhD in computer science, mathematics, or a closely related field in physical sciences, have demonstrated a publication record appropriate to their level of experience, with experience in computational deep learning model testing and verification, one or more of optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability, and inverse problems. Experience with learned PDE methods is highly desirable. The applicant should have programming experience in a low-level programming language, e.g., python, outstanding skills and experience in mathematical modelling technique, excellent communication skills and aptitude for multidisciplinary working, the ability to effectively prioritise your workload and work to strict deadlines, and ability to work collaboratively and as part of a team in a research community
   
Text: Research Fellow in the Mathematics of Machine Learning, - Ref:1878081 Click here to go back to search results Apply Now UCL Department / Division Computer Science Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £43,533 per annum Duties and Responsibilities Duties of the Research Fellow include developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the maths4DL programme. The Research Fellow must be able to communicate material of a technical nature and be able to build internal and external contacts. They may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars relating to the research area of Maths4DL. Key duties are: Undertake research in the mathematical analysis of machine learning techniques, especially in topics related to Partial Differential Equations (PDEs), optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability theory, statistics, and inverse problems. Develop computational methods that implement new theoretical results as the arise. Plan and perform computational experiments and record, analyse and provide written and/or oral reports of the results of the experiments. Keep the Principal Investigators up-to-date with the progress and timing of agreed experiments. Establish a strong multidisciplinary research environment with collaborators. Collaborate with other team members in the Math4DL consortium and with our industrial partners. Contribute to the supervision of PhD students, with the support of the Math4DL investigator team. Contribute to the drafting and submitting of papers to appropriate peer-reviewed journals. Contribute to the preparation and drafting of research bids and proposals. Preparing and presenting research findings to colleagues and at inter-disciplinary research conferences. Contributing to the overall research activities of the consortium and the Department as required. To work within financial budget constraints. Keep up-to-date with all relevant literature. Contribute to the induction and direction of other research staff and students as requested. To carry out any other duties as are within the scope, spirit and purpose of the job as requested by the line manager or head of department. To actively follow UCL policies including equal opportunities and race equality policies. To maintain an awareness and observation of fire and health & safety regulations. All academic staff are expected to demonstrate their ongoing commitment to academic excellence; that is, to the conduct of research, publication, teaching, enabling and other forms of knowledge transfer, at the highest levels of international achievement. For more information on UCL standards click http://www.ucl.ac.uk/excellence/. This job description reflects the present requirements of the post, and as duties and responsibilities change/develop, the job description will be reviewed and be subject to amendment in consultation with the post holder. This role is funded for 3 years in the first instance. Key Requirements Applicants must hold, or be about to receive, a PhD in computer science, mathematics, or a closely related field in physical sciences, have demonstrated a publication record appropriate to their level of experience, with experience in computational deep learning model testing and verification, one or more of optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability, and inverse problems. Experience with learned PDE methods is highly desirable. The applicant should have programming experience in a low-level programming language, e.g., python, outstanding skills and experience in mathematical modelling technique, excellent communication skills and aptitude for multidisciplinary working, the ability to effectively prioritise your workload and work to strict deadlines, and ability to work collaboratively and as part of a team in a research community. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and/or candidates from a BAME background for this vacancy, as they are currently under-represented at this level in our Department. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £31,542 - £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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 Professor Simon Arridge s.arridge@ucl.ac. uk or Dr Bangti Jin b.jin@ucl.ac.uk . UCL Taking Action for Equality Closing Date 30 Sep 2021 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. 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. Job description and Person specification Apply Now
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