Call for PhD Candidates
We are seeking an international PhD candidate for the following 3-year research-based PhD project in Statistics (Main focus on Data Science, Artificial Intelligence, and Applied Data-Driven Condition Monitoring) at Persian Gulf University.
Title: Investigating Data-Driven Methods of Intelligent Online Condition Monitoring of Rotating Equipment
Keywords: Data-driven methods, Diagnosis Prognosis, Artificial intelligence, Rotating equipment, Condition Monitoring
Supervisors: Dr. Hossein Haghbin, Statistics Group, Intelligent Systems Engineering and Data Sciences College, Persian Gulf University, Iran Dr. Amin Torabi Jahromi, Electrical Engineering Group, Intelligent Systems Engineering and Data Sciences College, Persian Gulf University, Iran
Research Group: Intelligent Control and Monitoring Research Group, Faculty of Intelligent Systems and Data Science, Persian Gulf University, Iran
Program and Scholarship: 3-year research-based PhD program. The scholarship will cover tuition fees, dining, and accommodation. EXTRA allowance might be awarded for applicants with the courage, competency, and opportunity to be involved in joint university-industry projects of the research group. Currently, we have a related project with a local industry.
Qualifications: MSc holders in Statistics, Computer Science, Mathematics, Electrical Engineering, and other disciplines relevant to data science studies.
The proposed research aims to develop a data-driven fault diagnosis framework for rotating machinery using advanced artificial intelligence (AI) techniques. Rotating machinery are critical in many industries, and their failure can lead to costly downtime and safety risks. Traditional fault diagnosis methods often rely on expert knowledge and manual feature extraction, which can be time-consuming and less effective. This project will investigate the benefits of AI algorithms to automatically detect, classify, and predict faults from sensor data in real-time. By integrating AI with condition monitoring data, the research will enhance the accuracy and efficiency of fault diagnosis, contributing to improved maintenance strategies and operational reliability.
How to Apply? Please send your full CV to (haghbin@pgu.ac.ir) with the subject “PhD by Research Application”.
Related Posts
A state-of-the-art water quality monitoring system has been developed at the Water Research Institute of Persian Gulf University, Bushehr
Appreciation of the Head of the Research and Technology Group for Intelligent Control and Monitoring as an Educational Excellence Leader at the University
