The University of Cambridge would like to recruit a new faculty member in the broad area of Environmental Data Science. We are interested in applicants who work within one or more of the following areas:  Environmental data gathering - developing novel methods for acquiring data, e.g., through new sensor platforms or crowd-sourcing initiatives;  Environmental data integration and analysis - using machine learning and other statistical techniques to integrate and analyse data from diverse sources to provide actionable information;  Environmental modelling - developing new computer models for environmental problems using data-based approaches, e.g., generating reduced models or new empirical parameterisations for existing models.
Applicants will have developed their own distinctive research theme(s) and will be expected to take a leading role in the development of this area within the Department and within the University more generally. The appointee will have freedom to decide on their own research area(s) without any form of Departmental direction.
In addition to research excellence that complements the existing skills in the Department of Computer Science and Technology, we are looking for candidates who will have extensive engagement with Governments, NGOs, policy makers and industry. The appointee will be expected to contribute to teaching, including the development of new modules within the existing undergraduate and graduate programmes.
The University of Cambridge has unique policies that provide great freedom for commercial collaboration, consultancy, shared appointments and entrepreneurship, resulting in one of the world's most dynamic investment and innovation ecosystems.
The closing date for applications is midnight (GMT) on 11 January 2019. The interviewing panel will meet during January to produce a shortlist and your references may be requested. Shortlisted candidates will be contacted during early February and will be invited to visit the Computer Laboratory, give a seminar and attend a formal interview. This process will take place on 15 March 2019.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure you upload your curriculum vitae; a full publications list and a covering letter including a summary of your research interests and future plans. 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 quote reference NR15890 on your application and in any correspondence about this vacancy.
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