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Dear colleagues Please promote the following opportunity The Extreme Citizen Science team within the department of Geography at UCL are offering a fully-funded 3 year PhD aimed at a developer. Full details are here https://www.findaphd.com/search/ProjectDetails.aspx?PJID=87960&LID=1780 Citizen Science is the participation of members of the public in a scientific project, from shaping the question, to collecting the data, analysing it and using the knowledge that emerges from it. The challenge of Extreme Citizen Science is to enable any community, regardless of literacy or education, to initiate, run, and use the result of a local citizen science activity, so they can be empowered to address and solve issues that concern them. Over the past 4 years, the Extreme Citizen Science (ExCiteS) research group at UCL has demonstrated that non-literate people and those with limited technical literacy can participate in formulating research questions and collecting the data that is important to them. Extreme Citizen Science: Analysis and Visualisation (ECSAnVis) takes the next ambitious step of developing geographical analysis and visualisation tools that can be used, successfully, by people with limited literacy, in a culturally appropriate way. The successful candidate will join a team of anthropologists, ecologists, geographers, computer scientists and designers and focus on extending the undertaken research work. This will include the design, prototype and implementation of Sapelli components that answer the needs and wishes of participants in citizen science projects. The research will mainly include aspects of data collection such as data validation, user authentication and designing user interfaces for non-literate participants. We will specifically focus on engagement of non-literate people and we need to understand how the process, from data collection to analysis, can be made meaningful and useful for their everyday life. The project will include working with non-literate forest communities in central Africa and seek to enable these vulnerable communities to conduct their own environmental monitoring or mapping. The applicants should possess a good honours degree (1st Class or 2:1 minimum) in a relevant discipline such as Computer Science, Electronic Engineering or Human-Computer Interaction. The ideal candidate should also hold an MSc in Computer Science, Human Computer Interaction, Human Factors, or Geographical Information Science and must have proven experience and skills in Software Engineering or Human Computer Interaction. Thank you for your help Judy Barrett Scientific Manager Extreme Citizen Science (ExCiteS) Pearson Building G18 University College London Gower Street London WC1E 6BT Tel: +44 (0) 20 7679 0447 (ext 30447) Fax: +44 (0) 20 7679 3042 To unsubscribe or modify your gis-jobs settings, please visit: http://www.jiscmail.ac.uk/gis-jobs