Postdoc: In-Situ AI X-ray Imaging for Sustainable Metals

University of Oxford

Oxford

On-site

GBP 37,000 - 48,000

Full time

36 hours ago
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Job summary

University of Oxford invites a Postdoctoral Research Assistant to join the Process Dynamics group in the Department of Materials at Begbroke Science Park, north of Oxford. The role focuses on real-time in-situ X-ray imaging of liquid metal solidification and the development of multi-modal imaging methods.

You will work on steel solidification and microstructure analysis, collaborating with partners and contributing to AI-assisted imaging approaches under the EPSRC AIXISuMM project.

Qualifications

  • PhD (or near completion) in materials science or a related field.
  • Experience in X-ray imaging of solidification or related analyses.
  • Hands-on experience building bespoke experimental rigs.
  • Experience performing experiments in a synchrotron environment.
  • Programming skills with Python for data analysis and CV techniques.

Responsibilities

  • Design and undertake real-time in-situ X-ray imaging solidification experiments.
  • Investigate dynamics of crystal formation during solidification.
  • Post-solidification measurement of key microstructural features using microscopy and other techniques.
  • Collaborate closely with scientists, technicians, and project partners.

Skills

X-ray imaging
Python programming
Computer vision
Experimental materials science
Synchrotron experiments

Education

PhD in materials science or related field

Tools

Python
X-ray imaging equipment

Job description

University of Oxford invites a Postdoctoral Research Assistant to join the Process Dynamics group in the Department of Materials at Begbroke Science Park, north of Oxford. The role focuses on real-time in-situ X-ray imaging of liquid metal solidification and the development of multi-modal imaging methods.

You will work on steel solidification and microstructure analysis, collaborating with partners and contributing to AI-assisted imaging approaches under the EPSRC AIXISuMM project.

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