Senior Research Associate in Machine Learning, Oxford Sustainable Finance Programme
Smith School of Enterprise and the Environment (SSEE), School of Geography and the Environment (SoGE), South Parks Road, Oxford OX1 3QY
Grade 8: £42,149 – £50,296 p.a.
We are seeking to appoint two Senior Research Associates in Machine Learning, one with a specialism in Computer Vision and the other with a specialism in Natural Language Processing. You will join the Oxford Sustainable Finance Programme (OxSFP). OxSFP is a multidisciplinary research group working to be the world’s best place for research and teaching on sustainable finance and investment. The OxSFP work with leading practitioners from across the investment chain, with firms and their management, and with experts from a wide range of related subject areas. You will work in a team of machine learning experts within the OxSFP. Your work will have a strong impact component and is in collaboration with The Alan Turing Institute and the Satellite Applications Catapult.
The successful candidate will contribute across several thematic areas within the OxSFP with a specialism in machine learning and data science. The post holders will be emerging leaders in their field, and bring to the post demonstrable research and expertise in neural network and Bayesian methodologies, including strength in topics such as natural language understanding, data fusion, interpretability and estimation. You will produce open, interpretable, (asset-level) datasets with commensurate levels of uncertainty to help project partners and stakeholders to align finance with sustainability. You will engage in internationally leading research in analysis of complex, heterogeneous data at scale.
You will hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate discipline with specialization in machine learning and with significant post-qualification research experience. You will have practical experience in computer programming of deep neural networks and familiarity with Pytorch or Tensorflow on a cloud computing platform (e.g. Google Cloud). The successful post holder will demonstrate research skills and expertise in machine learning topics. A strong academic publication record concomitant with experience and familiarity with the existing literature and research in the field is essential.
An appointment at Grade 7: £33,309 – £40,927 p.a. may also be considered for a less experienced candidate (with a Bachelor’s degree minimum requirement and suitable adjustment of responsibilities).
This is a fixed-term post for 36 months with the possibility of extension depending on funding.
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 16th February 2022, and interviews will be soon thereafter.
Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE and SSEE are committed to equality and value diversity.
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155771 – Job Description and Person Specification.pdf