THE KEY PERFORMANCE AREAS INCLUDE:

Develop novel models for solar photovoltaic thermal (PVT) system, particularly back-of-module water capillary configuration to optimize heat
Apply machine learning for thermoelectric performance assessment of PVT systems including use of data collected from existing systems.
Assist in the design and manufacturing of a PVT prototype an on-board monitoring

MINIMUM REQUIREMENTS:

Doctoral degree in Mechanical Engineering, Physics, Electrical Engineering, or related field obtained within the last 4 years
Expertise in computational fluid dynamics including programming experience in MATLAB, Python, R, and machine learning applications.
A track record of publications in DHET accredited journal

EXPECTED OUTCOMES:

Modelling and prototype of PVT system with on-board performance monitoring capabilities
A minimum of 4 publications in DHET accredited journals
Co-mentoring of postgraduate students
Assist with teaching and learning in primary department

APPLICATION:
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