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Research Associate, Regulatory Genome Project (Fixed Term)

University of Cambridge - Judge Business School

Location: Cambridge
Salary: £36,924 to £45,163
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 10th January 2025
Closes: 24th January 2025
Job Ref: NS44684

Cambridge Judge Business School (CJBS) leverages the power of academia for real world impact to transform individuals, organisations and society. Since 1990, Cambridge Judge has forged a reputation as a centre of rigorous thinking and high-impact transformative education, situated within one of the world's most prestigious research universities, and in the heart of the Cambridge Cluster, the most successful technology entrepreneurship cluster in Europe.

We are looking to recruit a pre-doctoral researcher to work with the Regulatory Genome Project (RGP) of Cambridge Judge Business School. RGP is a private-public collaboration between CJBS and RegGenome Limited, a spin out company of the University of Cambridge. The RGP initiative was forged in response to the dynamic shifts in technology and socio-political landscapes and it runs a unique cross-cutting research program between financial regulation and use of AI-NLP application. The RGP is now embarking on cutting-edge research in collaboration with a large government agency.

We are looking for a researcher to join a small team investigating Natural Language Processing problems in the domain of Financial Regulation. The role would be located within the Business School, but the successful candidate would work in collaboration with the Department of Computer Science and Technology. A degree in Computer Science with postgraduate experience in Natural Language Processing and Machine Learning are requirements of the role as well as considerable experience in the finance industry.

There is scope for the successful candidate to help supervise MPhil/Undergraduate students and, as such, experience managing projects and working with students would be desirable. There will also be opportunity to collaborate with external companies-experience of best-practice in coding and working in teams would be a benefit to help facilitate this.

The person appointed will have time to continue developing their own research and will be expected to publish in leading international journals. There are no teaching obligations for this position.

The ideal candidate will be able to demonstrate good technical skills including in Natural Language Processing and Machine Learning applied in finance, and a strong commitment to research and publications in top refereed academic journals. Good time management and planning skills with a commitment to delivery are a pre-requisite of this role. In addition, the candidate should be an enthusiastic team member who is driven and committed.

This is a fixed-term appointment for one year.

To apply online for this vacancy and to view further information about the role, please click on the apply button above.

Informal queries may be directed to the HR team at p.hudson@jbs.cam.ac.uk.

Please quote reference NS44684 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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