Fully Funded PhD: Machine Learning Techniques for Building Energy Management Systems at …

The School of Engineering at London South Bank University in collaboration with external Industrial partner, Demand Logic Ltd is funding a PhD place in machine learning techniques for building energy management systems.

Applications for a three year studentship are invited from outstanding candidates domiciled in the UK with an interest in machine learning and big data technologies.

The successful applicant will register for a PhD while working on collaborative research project with Demand Logic Ltd. which focuses on using data mining and statistical techniques to develop a model to capture the interactive behaviour of different units of Building Energy Management System (e.g., boilers, fan coil units, chillers…etc.). The model will be built using historical data gathered from different buildings and it is aimed to be used as base for:

  1. Engaging in research related to remote identification of plant items and problems through data mining discovery techniques.
  2. The remote discovery and identification of new building service plants added to an existing system.
  3. Detecting and/or predicting faults in their operation or settings and
  4. Developing a set of collective measures to assess different aspects of BMS health and energy consumption.

The models developed should facilitate infrastructural change detection and provide a mechanism to track such changes.

Candidates should normally hold a first-class honours degree or equivalent, or an MSc Degree, in Computer Science or Mathematics. A strong background/interest in data mining and statistical modeling is essential. Candidates should have excellent programming skills and should have some experience with Apache technologies: Kafka, Cassandra and Spark. A good knowledge in big data techniques is required and knowledge in graph databases is an advantage. The candidate will be working within a team environment ranging across academic and industrial sponsors, thus good team skills are necessary.

The studentship covers UK/EU home student tuition fees and provides an annual bursary (£17,000) for three years contributed by LSBU and Demand Logic, our industry partner. Applicants whose first language is not English will be expected to prove his/her competency in English, showing an IELTS score of at least 7.0 at postgraduate level.

Further information and informal enquiries may be made to Dr Sandra Dudley at dudleyms@lsbu.ac.uk or Dr Mikdam Turkey at turkeym@lsbu.ac.uk or on 0207 815 7181. All formal applications (curriculum vitae, a personal statement and a RES 1 application form: http://www.lsbu.ac.uk/research/research-degrees/how-to-apply) should be sent by email or posted to Dr Sandra Dudley, School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK.

The closing date for applications is 4pm, 18th of September 2015, with interviews taking place from the 21st of September and the successful candidate is expected to commence the PhD in October 2015.

Source: Fully Funded PhD: Machine Learning Techniques for Building Energy Management Systems at …

Via: Google Alert for ML

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