Applications are invited for a fully funded PhD position to start in October 2024
The School of Engineering at University of Sunderland, UK is pleased to announce a fully funded (tuition fee waiver + monthly stipend) PhD position. The three-year research position offers an excellent opportunity for a motivated, self-driven, and talented individual to contribute to the area of predictive maintenance in modern industrial systems.
The proposed PhD research topic is related to the field of smart factories and embedded systems. The proposed research seeks to design a framework for predicting required maintenance in industrial systems. In the said framework, the sensor data will be collected using IoTs, and a prediction model will be proposed using machine learning techniques. The research outcomes will enhance equipment reliability, safety and improve overall operational efficiency.
The successful candidate will be expected to identify key equipment that require predictive maintenance in modern industrial systems. Moreover, the candidate will need to identify the appropriate sensors to acquire and preprocess the data, develop machine learning models, design the visualization tool, implement, and validate the framework on real systems. The successful candidate will also be expected to publish the research findings in renowned/high impact journals of the domain.
Applications should be submitted through the University’s website (link below) quoting the title of the PhD. Submit your CV, academic transcripts, and a 1-page statement about your background and why you are interested in this programme.
https://www.sunderland.ac.uk/study/postgraduate-research/doctor-philosophy-phd/
Deadline for submissions is 14th of June 2024.
To help us track our recruitment effort, please indicate in your email – cover/motivation letter where (globalvacancies.org) you saw this job posting.
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