PhD Candidate: Magnetic-Resonance Tools for Aerogel Tech

Nottingham Trent University; Nottingham; On-site; GBP 65,000 - 67,000; Full time

Job summary

Nottingham Trent University is offering a full-time doctoral position within the FAroGels MSCA Doctoral Network to develop magnetic-resonance tools for characterising food-grade aerogels. The project blends MR imaging and TD-NMR device development, linking lab experiments with industrial relevance.

The successful candidate will enrol as a PhD student at NTU, collaborate with international partner organisations, and contribute to publications, reports and knowledge transfer across the network.

Qualifications

• CV and education details required (education, research experience, technical skills).
• Motivation letter explaining interest and suitability for the project.
• Proof of IELTS/English proficiency (IELTS 6.5 overall, min 6.0 in all subscores).
• Ability to work independently and collaboratively in an international setting.

Responsibilities

• Develop advanced MR tools to characterize internal structure and hydration dynamics of food-grade aerogels.
• Plan and conduct lab experiments; analyse data and report results.
• Create bench-top TD-NMR device and compare with MRI results.
• Collaborate with FAroGels partners and participate in meetings/workshops.
• Prepare reports, publications, and dissemination outputs.

Skills

Magnetic resonance

Laboratory analysis

Hardware development

Education

Master's degree or equivalent in physics, engineering or related field

Tools

TD-NMR platform

Job description

Nottingham Trent University is offering a full-time doctoral position within the FAroGels MSCA Doctoral Network to develop magnetic-resonance tools for characterising food-grade aerogels. The project blends MR imaging and TD-NMR device development, linking lab experiments with industrial relevance.

The successful candidate will enrol as a PhD student at NTU, collaborate with international partner organisations, and contribute to publications, reports and knowledge transfer across the network.