Essential Responsibilities: Execute research work independently collaborate with cross-functional global teams.
A successful candidate will
Able to understand power plant operation data to perform root cause analysis of faults.
Develop performance degradation models for power generation equipment.
Develop and apply statistical techniques, thermodynamic cycle analysis, signal processing algorithms, vibration analysis techniques for health monitoring of power plant equipment.
Define, create, implement and validate next generation monitoring systems and prognostic solutions for increased efficiency, availability and performance of the equipment.
Qualifications/Requirements: Masters in Mechanical/Electrical/Electronics/Instrumentation with 5 years of experience in power plant operation and maintenance.
Demonstrate passion for new technology and research
Demonstrate strong technical skills in one or more areas
Thermodynamic cycle analysis
Performance analysis of power plants
Multivariate Statistical analysis
Demonstrate strong project management skills, analytical skills, innovative thinking and communications skills
Additional Eligibility Qualifications:
Desired Characteristics: Knowledge of fault modeling and simulation for industrial applications
Knowledge of remaining useful life estimation methods
Knowledge of power plants, O&G industry, wind turbine plants, substations, cooling systems, steel/paper and other industries will be an added advantage
Hands on experience with one or more tools such as - Matlab, Ansys, Gate Cycle, System-I, Reliasoft, SAS, R and other engineering tools to develop diagnostic and prognostic models
Ability to work effectively in a multi-disciplinary team environment
Self-motivated and possesses high energy