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Exeter / Turing Research Fellow in Probabilistic Machine Learning

University of Exeter - College of Engineering, Mathematics & Physical Sciences

Location: Exeter
Salary: The starting salary will be from £36,382 up to £40,927 on Grade F, depending on qualifications and experience.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 12th October 2021
Closes: 9th November 2021
Job Ref: R77033

This new full-time 3-year post is available immediately until 30/09/2024 on a fixed term basis.

The post

The College wishes to recruit a Postdoctoral Research Fellow to participate in Project BlueBird, an exciting £13.75M, 5 year EPSRC Prosperity Partnership between NATS, Turing, Exeter and Cambridge. The EPSRC programme, which started in July 2021, is recruiting six post-doctoral researcher positions to be based at Exeter and Turing, across three themes which include (1) Digital Twin of UK Airspace (2) Multi-Agent Machine Learning Control of Air Traffic (3) Safe and Trustworthy Air Traffic Control. Links to all the roles available can be found on the project website: https://www.turing.ac.uk/research/research-projects/project-bluebird-ai-system-air-traffic-control

The data centric engineering group at Exeter (https://www.datacentricengineering.co.uk) is recruiting a 3-year post doc position to develop the Digital Twin of UK Airspace in the programme. This is a collaborative research position, consisting of 3 Post Doc positions and 3 software engineers. The aim of the theme is to build a data-driven simulator for all aircraft movements in UK airspace, from a data set of 20 million flight records over a 15-year period. This simulator will provide the modelling engine for the development for machine learning control algorithms developed in the wider programme.

The successful applicants will work within this team, which will be led and supervised by Professor Tim Dodwell (Turing AI Fellow at Turing & University of Exeter) and Professor Mark Girolami (Cambridge & Turing).

We welcome applications from a broad range of background include computer science, mathematics, statistics and engineering; with knowledge of statistical modelling, deep learning, optimisation, uncertainty quantification, physical based simulation and high performance computing.

You will:

  • be able to develop research objectives, projects, and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.
  • possess a relevant PhD or equivalent qualification/experience in a related field of study.
  • be a nationally recognised authority in machine learning and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies.
  • be able to work collaboratively, supervise the work of others and act as team leader as required.
  • work well in a team, and demonstrate a strong commitment to open, reproducible science and software development.

Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment above.

The University of Exeter

We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2019). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.

Equality, Diversity and Inclusivity at Exeter

With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer.

Further information

For further information please contact Professor Tim Dodwell, e-mail t.dodwell@exeter.ac.uk or telephone (01392) 725 899.

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