Senior Research Associate in Machine Learning, Oxford Sustainable Finance
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 9th November 2021, 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.
Contact Person : Recruitment Administrator Vacancy ID : 153202
Contact Phone : Closing Date & Time : 09-Nov-2021 12:00
Contact Email : email@example.com