Apologies for cross posting – might be of interest to those on the list and their contacts

 

NERD-IT: NEw forms of Real time Data informing Innovative Tariffs

How a better understanding of energy behaviours can be used to inform more innovative tariffs?

An exciting PhD studentship on the scope of computational methods like machine learning or hierarchical analytic methods to analyse new forms of ‘big’ data to inform energy research is available at Cranfield.

 

Funded via the Government’s National Productivity Investment Fund (NPIF), this studentship is placed at our DREAM (Data, Risk & Environmental Analytical Methods) doctoral training centre. The successful applicant will benefit from specific courses, facilities and training events related to big data analytics that are organised and offered jointly by Cranfield, Newcastle, Cambridge and Birmingham universities. For details, please see http://www.dream-cdt.ac.uk/studying/application/

 

Due to funding restrictions, all applications are due by the end of Friday (17 November). Feel free to get in touch with me ([log in to unmask]) for any queries.

Nazmiye

 

 

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Nazmiye Ozkan, Ph.D.

Senior Lecturer in Environmental/Energy Economics

Cranfield Institute for Resilient Futures

School of Water, Energy and Environment

Building 53 1^st floor, Cranfield University,

Cranfield, Bedfordshire MK43 0AL

Tel: +44 (0) 1234 75 4296

Email: [log in to unmask]

Skype: nazmiyeb_ozkan

 

See our most recent paper:

Balta-Ozkan, N. and J. Le Gallo (2017) Spatial variation in energy attitudes and perceptions: evidence from Europe, Renewable and Sustainable Energy Reviews

(http://www.sciencedirect.com/science/article/pii/S1364032117309620)