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Postdoctoral Research Associate in Optimisation and Machine Learning

University of Oxford - Mathematical Institute

Location: Oxford
Salary: £32,817 to £35,854 p.a. (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th September 2019
Closes: 21st October 2019
Job Ref: 142332

Mathematical Institute, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford

We invite applications for a Postdoctoral Research Associate, funded by the National Physical Laboratory (NPL, London), to work with Professors Coralia Cartis and Jared Tanner at the Mathematical Institute, University of Oxford, and Professor Stephane Chretien at NPL. This is a 2-year fixed-term position and is available for an immediate start.

The successful candidate will spend 80% of their time at Oxford and 20% at NPL (London) developing a joint research project. The PDRA will also have an affiliation with the Turing Institute, the UK’s national institute for data science, allowing further interactions with the UK data science community. The research project sits at the intersection of machine learning and optimisation, aiming to develop outstanding research in two directions: improving optimisation aspects for efficient deep learning, and employing statistical machine learning techniques for improving the scalability of optimisation methods for difficult problems. They will also be given the opportunity to undertake teaching which will not exceed 3 hours per week for 24 weeks p.a.

Applicants will be expected to have, or be close to completing, a PhD in mathematics, machine learning, statistics or operations research, or a related area, a strong record in research and publications commensurate with their career stage, as well as an excellent background in more than one area relevant to the project focus.

Please direct informal enquiries to the Recruitment Administrator at the address given below, quoting vacancy reference 142332.

Applicants should read the job description before writing their application. You will be required to upload a letter setting out how you meet the selection criteria, a curriculum vitae including full list of publications, a statement of research interests and the contact details of two referees as part of your online application (NOTE: applicants are responsible for contacting their referees and making sure that their letters are received by the closing date).

Only applications received before 12.00 noon on Monday 21 October 2019 can be considered.

Closing Date: 21-OCT-2019 12:00

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