Connectionists: PhD Project in Non-Linear Temporal Machine Learning Models for Conditioning Monitoring in Large-Scale Solar Energy Systems

[Ole Winther]

PhD Project in Non-Linear Temporal Machine Learning Models for Conditioning Monitoring in Large-Scale Solar Energy Systems

DTU compute, Technical University of Denmark (DTU) would like to invite applications for a 3-year PhD position starting December 2014 or soonest hereafter. The project is partially funded by the Danish National Advanced Technology Foundation project “Fully Automated Service Execution platform for PhotoVoltaic power plants (FASE)”. The project is a collaboration between GreenGo Energy (greengoenergy.com/) and DTU (dtu.dk).

Project Description
The large number of condition monitoring sensors installed in all GreenGo Energy’s solar energy power plants generates terabyte data that are collected in common cloud based solution. A global scale synchronised data acquisition system is providing data with unprecedented precision, size, geographical diversity provides unique possibilities for big data modelling. A successful machine learning system build on top of the cloud solution will be able to detect many type of faults and wear characteristics. The scale of the data poses computational challenges and requires application and development of novel non-linear dynamical models that scale to large datasets. In the PhD project, Bayesian approaches to filtering will be investigated as well as deep learning methodologies for integration of high frequency heterogeneous sensor data. The service platform will integrate state-of-the-art fault diagnosis, and portfolio based service planning and execution automation.

Requirements
Candidates must have a master degree in machine learning, computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experience in conditioning monitoring, and in addition have a background in machine learning. Furthermore, good command of the English language is essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the ITMAN Graduate School Programme of DTU Compute. Information about the general requirements for enrolment and the general planning of the scholarship studies is included in the general rules at DTU, which may be obtained from http://www.dtu.dk/english/Education/phd/.

Assessment
The assessment of the applicants will be made by DTU Supervisor Ole Winther and GreenGo co-supervisor Karsten Nielsen.

Salary and appointment terms
The salary and appointment terms are consistent with the current Danish rules for PhD degree students.

Further Information
Further information concerning the project can be obtained from Ole Winther olwi at dtu.dk<mailto:olwi at dtu.dk> and Karsten Nielsen karsten at greengoenergy.dk<mailto:karsten at greengoenergy.dk>.

Further information concerning the application can be obtained from http://www.compute.dtu.dk/english/education/phd or by contacting PhD coordinator Ulla Jensen, ulje at dtu.dk, +45 4525 3359.

Application deadline is November 23, 2014. Further information about application requirements can be found here: http://www.dtu.dk/Job/job?id=3eb58a13-c175-4404-887e-a8363901ee1b.
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