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Senior Research Associate in Machine Learning, Leverhulme Centre for Nature Recovery

University of Oxford - Environmental Change Institute, School of Geography and the Environment

Location: Oxford
Salary: £43,414 to £51,805 p.a.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 24th November 2022
Closes: 19th December 2022
Job Ref: 162061

We are seeking to appoint a Senior Research Associate (Grade 8: £43,414 - £51,805 p.a.) in Machine Learning with a specialism in computer vision.  You will engage in internationally leading research in the analysis of multi-spectral satellite imagery at scale as well as other complementary data sources; you will bring state of the art machine learning to the heart of nature recovery, specifically the challenge of how to track recovery initiative efficacy. You will achieve this by advancing state-of-the art deep learning techniques for remote sensing and data fusion. You will work in a team of machine learning experts within the Leverhulme Centre for Nature Recovery (LCNR). The LCNR is being established to address the challenges of delivering effective nature recovery at scale in a way that addresses climate change, supports biodiversity and enhances human wellbeing.

The successful applicant will be collaborating directly with a team of multidisciplinary researchers, including ecologists and remote sensing experts, to mine satellite data for evidence of environment health. Your work will produce state-of-the-art methodologies and algorithms that identify effective ways of working with satellite data, track recovery initiatives and identify environmental threats.  Outputs will form the basis of guidance and tools for decision-makers and land managers. You will prepare and publish in high quality academic publications and regularly write and publish articles in peer-reviewed journals and conferences. You will participate actively in research within the LCNR, developing collaborations with others. You have the option to contribute to teaching, including undergraduate and MSc/MPhil courses. A key duty is to assist in raising research funds through grant applications.

You must hold, or be close to completion of a relevant PhD/DPhil with, ideally research experience in machine learning or statistics with a specialism in computer vision. You must have a strong academic publication record concomitant with your experience, and familiarity with the existing literature and research in deep learning machine learning. You will have sufficient specialist knowledge to develop novel research questions and methodologies. Practical experience in computer programming of deep neural networks at scale and familiarity with Pytorch or Tensorflow on a cloud computing platform (e.g. Google Cloud) is essential.

An appointment at Grade 7: £34,308 - £42,155 p.a. may also be considered for a less experienced candidate (with an adjustment of responsibilities).

Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in the School of Geography and the Environment (SoGE). SoGE and ECI are committed to equality and value diversity.

This is a fixed term post for 36 months in the first instance.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

The closing date for applications is 12:00 noon on Monday 19 December 2022, and interviews will be early January 2023.      

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