Research Assistant

Description

The research assistant should have an experience in working on researches on general data analytics, data mining, and data driven prediction. An experience of research in the energy consumption management and energy data analytics is highly preferable. Specifically the candidate should be able to survey the state of the art of the energy prediction, write research and technical reports, learn quickly “on-the-shelf” energy simulation tools and infrastructure (such as Energy Plus, Open Studio and SketchUp) in order to work comfortably with them. The tasks of the RA will also include Energy data collections and analysis for the problem of energy consumption, demand, load, and peek predictions. The position effective date is 1st of December 2017 and ends on 30th of June 2018 with the possibility of extension The salary will be determined and readjusted based on candidate’s skills evaluation and achievements.

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