Research Associate – Computational Statistics and Machine Learning
University of Oxford – Department of Computer Science
Oxford, United Kingdom
General Description
The University of Oxford is seeking a Research Associate to contribute to advanced research at the intersection of computational statistics, machine learning, and global health. The successful candidate will be based in the Department of Computer Science at Oxford and will work as part of the Machine Learning & Global Health Network, a multi-institution research laboratory with collaborators at Oxford, the University of Bristol, Imperial College London, the University of Copenhagen, and Singapore.
The role involves supporting and helping lead an ongoing multi-year programme of methodological research addressing pressing global health challenges. The research programme collaborates with leading international organisations including the World Health Organization and the World Food Programme.
The appointed researcher will report directly to Professors Seth Flaxman and Mark van der Wilk at Oxford and will collaborate closely with Professor Samir Bhatt (University of Copenhagen/Imperial College London). Responsibilities include conducting innovative research, contributing to methodological development in machine learning and computational statistics, collaborating with interdisciplinary research partners, and supporting the broader objectives of the research network.
The position is offered as a full-time role, although part-time arrangements may be considered. The appointment is on a fixed-term contract for one year. Candidates with potential but less experience may be considered for an under-filled role as Research Assistant, with responsibilities adjusted accordingly. The department promotes an inclusive, collaborative, and supportive research culture and strongly encourages applications from underrepresented groups.
Eligibility Criteria
A PhD (or near completion) in Computer Science, Statistics, Machine Learning, Mathematics, or a closely related quantitative discipline.
Demonstrated research ability in computational statistics, machine learning, or related methodological areas.
Evidence of ability to conduct independent research within a collaborative academic environment.
Experience contributing to interdisciplinary research projects or methodological development in data science or machine learning.
Required expertise/skills
Strong background in computational statistics and machine learning methodologies.
Experience with quantitative modelling and data analysis.
Proficiency in programming and scientific computing tools commonly used in machine learning research.
Ability to conduct high-quality academic research and contribute to scholarly publications.
Excellent written and verbal communication skills.
Ability to collaborate with interdisciplinary teams and international research partners.
Salary details
Grade 7: £36,024 – £44,263 per annum.
The role may be under-filled at Grade 6 (Research Assistant level) with a salary range of £32,332 – £38,205 per annum, depending on experience.
Application Deadline
12:00 noon, 8 March 2024. Interviews are expected to take place in March 2024.