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Position: Research Associate in Mathematics
Institution: Aston University
Location: Birmingham, West Midlands, United Kingdom
Duties: We are looking for a highly motivated individual for this postdoctoral research position in the general areas of statistical physics, machine learning and Bayesian inference, and their application to optical communication networks. The emphasis of this research will be on developing and employing theoretical and numerical methods from Bayesian statistics, machine learning and statistical physics to optimise routing and containment strategies on optical networks as well as the inference and optimisation of operational parameters in single channels
Requirements: The successful candidate must have a PhD in a relevant discipline, e.g. Mathematics, theoretical Physics or related subject. You should have excellent mathematical and computational skills and have a background in statistical physics, Bayesian inference and machine learning. knowledge of optics/laser-based systems is an advantage
   
Text: Login Register Current Vacancies Information and Guidance Human Resources Website Cookies Terms of Use Terms of Use Contact Us Jobs | Aston Home | Login Register Cookies This site requires the use of cookies as defined by our Terms and Conditions . We have provided a detailed description of how cookies work and are used on the site . To accept cookies, please click the "Accept Cookies" button. Accept Cookies View All Vacancies Research Associate in Mathematics Engineering & Applied Science Salary: £32,548 to £38,833 per annum Grade: Grade 08 Contract Type: Fixed Term (3 years) Basis: Full Time Closing Date: 23.59 hours BST on Saturday 01 September 2018 Interview Date: To be confirmed Reference: R180332 We are looking for a highly motivated individual for this postdoctoral research position in the general areas of statistical physics, machine learning and Bayesian inference, and their application to optical communication networks. The emphasis of this research will be on developing and employing theoretical and numerical methods from Bayesian statistics, machine learning and statistical physics to optimise routing and containment strategies on optical networks as well as the inference and optimisation of operational parameters in single channels. The successful candidate must have a PhD in a relevant discipline, e.g. Mathematics, theoretical Physics or related subject. You should have excellent mathematical and computational skills and have a background in statistical physics, Bayesian inference and machine learning. knowledge of optics/laser-based systems is an advantage. While the main thrust of the work will be carried out within SARI and with Professor Saad, the position is part of the multi-institutional EPSRC-funded programme grant TRANSNET; hence, a significant level of collaboration with the Aston Institute of Photonics Technologies, University College London and Cambridge University is expected. Further details on the collaborative TRANSNET research project can be found on http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R035342/1 . Informal enquiries should be directed to Professor David Saad: D.Saad @aston.ac.uk . Further details: Job Details University Information Email details to a friend Apply Online Further particulars and application forms are available in alternative formats on request i.e. large print, Braille, tape or CD Rom. If you have any questions, please do not hesitate to contact HR via recruitment@aston.ac.uk Login Please note: Javascript must be enabled to use this website. Email / Username: Password: I accept cookies Login Forgotten Details Register Find Jobs Jobs by Email Jobs by RSS Search Jobs: Search Advanced Job Search Latest Vacancies Research Associate in Mathematics Events Manager Executive Assistant (EAS) View All Vacancies Jobs Current Vacancies Information and Guidance Human Resources Website Cookies Terms of Use Terms of Use | Contact Us © 2018 Aston University
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