PhD in Smart Nanomaterial Characterisation

Laplace Expert Ltd

Leeds

À distance

GBP 20 000 - 24 000

Plein temps

Il y a 48 heures
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Avantages offerts par ce poste

Fully Funded
Fully Covered Tuition

Résumé du poste

The University of Leeds is recruiting a PhD candidate through the EPSRC Materials 4.0 CDT to develop smart and automated nanomaterial-characterisation workflows, integrating electron microscopy with advanced data analytics to generate reproducible results.

This funded project combines SEM and TEM with spectroscopy, diffraction, computer vision and cloud-enabled analysis to deliver automated characterisation data and concise scientific summaries. Deadline 8 January 2027.

Qualifications

  • Experience with electron microscopy techniques for material characterisation.
  • Ability to develop automated workflows for data analysis.
  • Familiarity with AI/ML approaches in imaging and analysis.

Responsabilités

  • Develop smart, automated nanomaterial-characterisation workflows.
  • Integrate SEM/TEM with spectroscopy, diffraction, and computer vision.
  • Produce representative and reproducible characterisation data and automated scientific summaries.

Connaissances

Scanning electron microscopy
Transmission electron microscopy
Spectroscopy
Electron diffraction
Computer vision
Artificial intelligence
4D-STEM
EDX
FIB-SEM

Formation

PhD level candidate

Description du poste

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
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