University of Oxford

University of Oxford

Research Associate in Machine Learning

Research Associate in Machine Learning

There is an amazing opportunity to join the Smith School of Enterprise and the Environment (SSEE).

We are seeking a Research Associate in AI/Machine Learning with expertise in large language models. Who will engage in internationally leading research in the analysis of complex, text data at scale. They will bring state of the art machine learning to the heart of geospatial data analytics with textual reports. They will also bring Bayesian and network modelling to the analysis of complex value-chains, aiding to identify investment impacts on climate and the environment.

The post holder's work will produce open, interpretable, (asset-level) datasets and metrics of corporate impact and dependency with commensurate levels of uncertainty and environmental risk to help project partners and stakeholders align finance with sustainability, a necessary condition for tackling the environmental and social challenges facing humanity, to manage the risks and capture the opportunities associated with the transition to global environmental sustainability.

Reporting to Lead, Machine Learning, Oxford Sustainable Finance Group

To be a successful candidate will need to hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate discipline with specialisation in machine learning. Acquire sufficient specialist knowledge in machine learning to work within established research programmes, and sufficient specialist knowledge in machine learning to develop research questions and novel methodologies. Demonstrate practical experience with state-of-the-art natural language processing large language models along side experience in computer programming of deep neural networks at scale and familiarity with Pytorch on a cloud computing platform (e.g., Google Cloud). A strong academic publication record concomitant with experience and familiarity with the existing literature and research in the field.

Enquiries may be directed [email protected].

Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application, explaining how you meet the essential and desirable criteria for this post.

The closing date for applications is midday on Monday 27th May 2024, and interviews will be held week commencing 3rd June 2024.

Contact Person : HR Officer Vacancy ID : 172639 Contact Phone : Closing Date & Time : 27-May-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected]

Job details


Research Associate in Machine Learning


University of Oxford


United Kingdom


May 10, 2024

Application deadline

May 27, 2024

Job type



Computer Science,Engineering,Mathematics

About the employer

The University of Oxford is the oldest university in the English-speaking world, and is actually so ancient that its founding date is unknown – though it is thought that teaching took place there as early as the 11th century. It’s located in and around the medieval city center of Oxford, dubbed “the dreaming city of spires” by the 19th century poet Matthew Arnold, and comprises 44 colleges and halls as well as the largest library system in the UK. 

There are 22,000 students at Oxford in total, around half of whom are undergraduates, while 40 per cent are international students. A quarter of the city of Oxford’s residents are students, giving the city the youngest population in the UK. 

The University of Oxford does not have a main campus, its buildings and facilities instead being scattered around the medieval city center. Its colleges each have a distinctive character and traditions often dating back centuries. Colleges are self-governing institutions to which students usually apply directly. There are four academic divisions within Oxford University: Humanities, Mathematical, Physical and Life Sciences; Medical Sciences; and Social Sciences. The university’s particular strength is the sciences, and it is ranked number one in the world for medicine.

Oxford is a youthful and cosmopolitan city with plenty to see and do. There are dozens of historic and iconic buildings, including the Bodleian Libraries, Ashmolean Museum, Sheldonian Theatre, the cathedral, and the colleges themselves.  Students can choose to spend their time studying or avail themselves of the many extracurricular activities available. There’s a strong musical life at Oxford, with clubs and societies spanning all genres, from jazz, through to classical and folk. Oxford is also ranked highly for sport, with its top rowers taking part every year in the world-famous boat race with the University of Cambridge on the River Thames. Drama lovers are also well catered for, with one of the largest and most vibrant university drama scenes in the country.

Oxford has an alumni network of over 250,000 individuals, including more than 120 Olympic medalists, 26 Nobel Prize winners, seven poets laureate, and over 30 modern world leaders (including Bill Clinton, Aung San Suu Kyi, Indira Ghandi and 26 UK Prime Ministers). 

It has a friendly rivalry with Cambridge for the title of best university in the UK and is regularly ranked as being one of the top three universities in the world. Notable Oxford thinkers and scientists include Tim Berners-Lee, Stephen Hawking and Richard Dawkins.

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