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Research Associate (Fixed Term)

University of Cambridge - MRC Epidemiology Unit

The MRC Epidemiology Unit at the University of Cambridge are offering an exciting opportunity to join a vibrant research group at a leading university, to contribute to important research on the characterization of dynamic environmental exposures that contribute to public health. We are seeking to appoint a Research Associate, with a strong quantitative background and an interest in public health resreach, to work on the research project "AI-enabled targeting of public health interventions through dynamic characterization of the environment", funded by UK Research and Innovation (UKRI).

The cost of non-communicable disease in human, social and economic terms is staggering, but to a significant extent is avoidable. Designing cities to maximize human health is an urgent global priority. Research is shedding light on characteristics of the built environment that are most important for public health and subject to change. However, traditional spatial epidemiological research is limited in the extent that it can account for the dynamic movement of individuals and their rapidly changing environments. Developing methods to capture variation in disease and risk factors by person, time and place, will be a cornerstone of cutting-edge and impactful future epidemiological research. New technology can provide a dynamic characterization of the environment by integrating and supplementing existing real-time data, which in conjunction with human movement data can enable a step change in spatial epidemiology.

You will be expected to: lead development of a detailed study protocol in collaboration with non-academic stakeholders; collate and derive data on environmental exposures within the natural and built environment (e.g. green space, traffic count, food retail); use a knowledge graph (AI) to characterize dynamic exposures to these environmental characteristics; conduct analyses using these data; write up results in the form of peer-reviewed publications as first author; and disseminate results to academic and non-academic stakeholders, including conference presentations.

You will be educated to PhD level and have strong quantitative analysis skills. You may have experience of using GIS to manipulate, map and summarise large volumes of complex location and attribute data. You might also have some basic programming experience, for example python or VBA. Experience of knowledge graphs or other AI methods is desirable but not expected, as you will be given training and support. However, you will need to demonstrate having understood and adopted new and advanced analytical methods in previous work. You will have experience of writing up research outputs for a variety of audiences, including as peer-reviewed publications (including manuscripts submitted, under review or in press). Excellent time management, oral and written communication skills, with a track record of problem solving, managing your own workload, working independently and meeting deadlines, will be required.

Fixed-term: The funds for this post are available until 31st March 2025 in the first instance.

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

Applicants must have (or be close to obtaining) a PhD.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £31,411) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

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

Location: Cambridge
Salary: £36,024 to £44,263 - please see advert
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 6th December 2023
Closes: 7th January 2024
Job Ref: SJ38904
   
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