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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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maintenance of command-line and web-based applications deploying machine learning (ML) models for chemical synthesis planning, property prediction, and molecular design and will work closely with faculty
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maintenance and repairs to HVAC systems. On-call responsibilities may be assigned by the supervisor. Responsibilities: Perform preventative and predictive maintenance on HVAC systems through planned and
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frequency drives, predictive and preventative maintenance, and vibration analysis. • Manage rotation of students • Assist in recruitment and job placement of students • Must be willing to remain current in
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through established guidelines for preventive and predictive maintenance to ensure equipment reliability. About the department – Utility Services Utility Services is a 24-hour, 365-day-a-year operation
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predictive modeling, data mining. -Determines best practices and develops actionable insights and recommendations for the current business operations or issues. -Performs ad-hoc analyses and reporting, to aid
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performance and detect anomalies Develop AI-driven predictive maintenance strategies to anticipate system failures or performance degradation Use AI/ML methods to optimize thermal system design parameters and
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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Training Areas Qualified instructors may teach in one or more of the following areas based on their experience and expertise: • Industrial Maintenance Fundamentals • Preventive and Predictive Maintenance
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increasing capacity utilisation on the railway, time in track for maintenance is decreasing at the same time as consequences of lacking maintenance are increasing. This means that precision in asset monitoring