AI-Assisted Characterization of Triboelectrification of Powders University of Leeds in United Kingdom

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About this position

?? Exciting PhD Opportunity: AI-Assisted Powder Characterization at University of Leeds

Dear all, we're looking for a talented doctoral candidate (UK only) to join our interdisciplinary research team at the University of Leeds for a fully-funded PhD project combining AI, machine vision, and powder technology!
Project: AI-Assisted Characterization of Triboelectrification of Powders
This cutting-edge research will develop AI models to predict how powders charge during contact and separation which is a critical phenomenon affecting pharmaceutical manufacturing, food processing, and additive manufacturing. You'll work with state-of-the-art powder characterization facilities and develop novel machine learning approaches to understand and control triboelectrification in industrial powders.
What is offered:
- Full rate UKRI funding for 3.5 years
- World-class research facilities at Leeds
- Interdisciplinary supervision across Computer Science and Chemical Engineering
- Industry-relevant research with wide application potential

Supervisory team: Dr. Xiaodong Jia (Chemical Engineering) Dr. Arash Rabbani (Computer Science) Prof. Mojtaba Ghadiri Dr. Wei Pin Goh (Chemical Engineering)
If you're passionate about AI, powder technology, and industrial applications, apply by April 25, 2025! For further information about this project, please contact Dr Wei Pin Goh by email to [email protected]

Links:
- University advert page: https://lnkd.in/gGjuD36M
- Powder characterization Lab: https://lnkd.in/gFi8r9bf
- AI/machine vision Lab: https://lnkd.in/eYYGVi4i

# PhDOpportunity # ArtificialIntelligence # ComputerVision # ChemicalEngineering # MaterialsScience # PowderTechnology # ResearchPositions # UniversityOfLeeds # EPSRC # AIResearch

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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