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*** Re-Posting - Please help distribute it to interested once **** PhD Opportunity in Computer Science - Deadline 4th March Project title: Artificial Intelligence Enabled Smart LED Lighting for Eco, and Assisted Living Space https://www.jobs.ac.uk/job/BPH707/epsrc-dtp-phd-studentship-in-computer-science Department/School: School of Mathematical, Physical and Computational Sciences Supervisors: Dr Varun Ojha and Dr Hong Wei Project Overview: Internet of Things (IoT) is the fastest emerging research topic in Computer Science. It aims to connect devices, equipment, and home appliances for creating Smart, Eco, and Assisted living space. Google Home is an excellent example of IoT where not only it plays music and video, it also let us control your smart Home appliances. This project aims to investigate and develop an Artificial Intelligence (AI) enabled Smart LED Lighting for Eco and Assisted Living Space. The research focuses on developing sophisticated and powerful AI algorithms to detect human posture and motion tracking for smart control of LED lighting in Eco and Assisted Living Spaces. This research will use Industrial, Scientific and Medical (ISM) bands of 2.4GHz or 5.8GHz non-intrusive microwave technology based Radar sensors system for data acquisition, experimentation, and simulation. The overall vision of the proposed idea can be interpreted as a closed control system including LED building in low-cost unobtrusive sensors microwave radar sensing, machine learning, internet of things, and lighting optimization. The focus of this PhD project is therefore to address some significant technological challenges in artificial intelligence, i.e., designing and testing novel signal processing and machine learning algorithms. Specifically, the major technical challenges for the PhD are human detection, posture recognition, motion tracking from invasive microwave sensors. This PhD research project will be in close collaboration with Kosnic Lighting Ltd., a major UK LED company, who will provide partial funding, laboratory facility for experimental design, data acquisition, and technical guidance. Eligibility: • Applicants should hold a Master Degree or expect to gain a minimum of a 2:1 Bachelor Degree or equivalent in Computer Science, Electronic engineering, Automatic control, or mathematics background with strong MATLAB and Python programming skill. • Due to restrictions on the funding, this studentship is open to UK/EU students. Funding Details: • Starts September 2019 • 3 year award • Tuition fees plus RCUK stipend How to apply: To apply for this studentship, please submit an application for a PhD in Computer Science [EPSRC Doctoral Training Partnership 2019, School of Mathematical, Physical and Computational Sciences] at http://www.reading.ac.uk/graduateschool/prospectivestudents/gs-how-to-apply.aspx. *Important notes* Please quote the reference ‘GS19-024’ in the ‘Scholarships applied for’ box which appears within the Funding Section of your online Application Deadline: 4th March 2019 Further Enquiries: Please note that, where a candidate is successful in being awarded funding, this will be confirmed via a formal studentship award letter; this will be provided separately from any Offer of Admission and will be subject to standard checks for eligibility and other criteria. For further details, please contact: Dr Varun Ojha <[log in to unmask]> Best regards, Varun ----------------- Dr Varun Ojha Lecturer in Computer Science, University of Reading ######################################################################## To unsubscribe from the EVOLUTIONARY-COMPUTING list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=EVOLUTIONARY-COMPUTING&A=1