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Research Assistant in Computer Vision (Fixed Term)


The MRC Epidemiology Unit is seeking to appoint a Research Assistant in Computer Vision.

This position is based in the Unit's Public Health Modelling team. The primary responsibilities of the role will be working alongside computer scientists in the Unit to conduct image detection, classification, and segmentation using fixed traffic camera, satellite, and street view type data. The post holder will contribute to several projects including supporting Dr Woodcock's collaboration in a new project analysing traffic camera data in India, led by Prof Bibiane Schönlieb, at the Department of Applied Maths and Theoretical Physics.

Alongside a competitive salary, University staff are eligible for a comprehensive package of benefits and services include discounts on shopping, health care, financial services and public transport. We also offer defined benefits pension schemes and tax-efficient bicycle, car lease and charity-giving schemes.

The MRC Epidemiology Unit is a department within the University of Cambridge's School of Clinical Medicine and is situated within the Institute of Metabolic Science on the Cambridge Biomedical Campus. Its mission is to study the genetic, developmental and environmental factors that cause obesity, diabetes and related metabolic disorders and develop strategies for their prevention. The Unit benefits from a number of large-scale, cross programme epidemiological studies with detailed datasets allowing a wide range of research from genetics to public health. Highly experienced information teams and other specialist teams support the scientists in the delivery of their research aims.

The successful candidate will have a qualification in a relevant subject at postgraduate level. Applicants will have proven programming and quantitative skills, and an understanding of the complex relationships between transport, the built environment, and health. Experience in health impact modelling (or assessment) is desirable. Experience of travel survey and traffic injury data is desirable. Experience with geographical information systems is desirable.

Please contact Dr James Woodcock (jw745@cam.ac.uk) or Dr Ali Abbas (aa797@medschl.cam.ac.uk) for informal enquiries.

Fixed-term: The funds for this post are available for 1 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check.

The post is full-time but applications are welcome from those who would like to work flexibly.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Thursday 12th September 2019 with interviews likely to take place Thursday 26th Sepember 2019.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter 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 e-mail address and phone number, one of which must be your most recent line manager

Please quote reference SJ20315 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.

Further information

Apply online