PhD in Smart Nanomaterial Characterisation
University of Leeds · EPSRC Centre for Doctoral Training in Materials 4.0
United Kingdom
8 January 2027
About This Opportunity
The University of Leeds is recruiting a PhD candidate through the EPSRC Materials 4.0 CDT to develop smart and automated nanomaterial-characterisation workflows. The listing gives an application deadline of 8 January 2027.
The project develops automated workflows for electron-microscopy-based nanomaterial characterisation. It combines SEM and TEM with spectroscopy, diffraction, computer vision, artificial intelligence and cloud-enabled analysis to generate representative and reproducible characterisation data and automated scientific summaries.
nanomaterials electron microscopy automated characterisation computer vision Materials 4.0
Level PhD
Programme EPSRC Centre for Doctoral Training in Materials 4.0
Field Automated Nanomaterial Characterisation
Specialization Materials Science & Engineering
Organization Type University
Funding & Compensation
Amount GBP 21,805 / Per Year
Funding Type Stipend
Funding Status Fully Funded
Period Per Year
Tuition Coverage Fully Covered
Stipend Yes
Requirements
Technical Skills
- Scanning electron microscopy
- Transmission electron microscopy
- Spectroscopy
- Electron diffraction
- Computer vision
- Artificial intelligence
- 4D-STEM
- EDX
- FIB-SEM
#J-18808-Ljbffr
PhD in Smart Nanomaterial Characterisation in Leeds employer: Laplace Expert Ltd
The University of Exeter is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of Digital Humanities. With a strong commitment to employee development, you will have access to numerous growth opportunities and resources to enhance your skills while working on impactful projects like the reconstruction of Florence's Palazzo Medici. Located in a beautiful and historic city, the university provides a stimulating environment for research and creativity, making it an ideal place for those seeking meaningful and rewarding employment.
