The Department of Computer Science is pleased to offer a unique opportunity to train the next generation of interdisciplinary workers in the area of pollution monitoring. We are seeking 3 enthusiastic researchers, with an interest in environmental pollution, to work on the European Commission funded CAPACITIE (Cutting-Edge Approaches for Pollution Assessment in Cities) project which aims to develop novel approaches for assessing pollution in city environments. The project involves the Departments of Environment, Chemistry, Computer Science, Electronics, Physics and Sociology at York. By joining the project, you will have the opportunity to work at a World leading University and to become part of an exciting research endeavour at the interface between environmental chemistry, electronics, and computer and social science. You will benefit from a series of CAPACITIE training courses on environmental pollution, monitoring technologies, environmental policy, smart cities and transferrable skills. You will also be required to spend some time working with partner organisations (e.g. IBM, Siemens, Arup, PerkinElmer and the US Geological Survey) and will have the opportunity to travel to the CAPACITIE case study cities in Seoul and Berlin. The following PhD position is available in the Department of Computer Science. Details of the other PhD positions can be found at https://www.cs.york.ac.uk/postgraduate/research-degrees/research-studentships/capacitie/. PhD11 - Capture and analysis of monitoring data Highly-accurate infrastructure already exists in the form of weather stations and balloons and pollution monitoring equipment for monitoring the environment. These systems are expensive and few in number. New technologies (such as mobile devices and cars equipped to detect pollutants, and purpose built and deployed Wireless Sensor Networks) provide an opportunity to measure pollutants at much improved spatial and temporal resolutions. However, the application of these technologies will raise numerous challenges including: How to capture, process and interpret the data to make real time decisions? How to ensure the collected data is robust and useable by decision makers? How to store the data safely and securely into the future? This project will therefore investigate approaches for collecting, processing and interpreting data from a combination of traditional and 'new' monitoring technologies to produce data that can be used to inform decisions. The project will explore effective and secure long-term approaches for archiving of the different information collected. It will also explore feedback technologies (e.g. texts to mobile 'phones of vulnerable subpopulations; informing in car GPS systems. The project will work closely with PhD1 on end user needs and also collaborate closely with PhD12 on planning of decisions. Applications are invited for the PhD studentship which is to be hosted within the Real-Time Systems Group in the Department of Computer Science, supervised by Dr. Iain Bate, and in collaboration with the Department of Electronics, supervised by Dr. Paul Mitchell. Please contact Dr. Iain Bate iain.b...@york.ac.uk for more information. Successful candidates will be required to take up the PhD position on 1 March 2013 and will receive a salary of around 38,000 Euro per yera and travel allowances for a period of 36 months. To be eligible you must hold at least an upper second class honours degree (BSc or equivalent) and be within four years of your first degree. The positions are only available to non-UK residents and those who have resided in the UK for less than 12 months in the last 3 years. We strongly encourage women to apply as CAPACITIE strives to achieve gender balance and promote women's involvement in research. Applications should be emailed to capacitie-off...@york.ac.uk before Friday 15 November 2013. Applications should include 1) a covering letter indicating which PhD project(s) you are applying for and describing the reason for applying for a particular project; 2) a curriculum vitae; and 3) two academic references. We anticipate that shortlisted candidates will be interviewed during the first week of December. Please include the PhD code or codes (e.g. PhD1) in the subject line of the email.
--- 8< ------------------------ - - - - Thomas Nolte, Professor of Computer Science MRTC/Mälardalen University, Västerås, SWEDEN Cell: +46 73 6620583 Mail: thomas.no...@mdh.se More: http://www.mrtc.mdh.se/index.phtml?choice=staff&id=0099 _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
