Characterisation PDRA at Cambridge

Applicants should have experience in the solution-phase synthesis of inorganic nanoparticles with control over particle size, shape and crystalline phase, and in characterising both the colloidal state of nanoparticle dispersions (e.g. dynamic light scattering, optical microscopy, UV-Vis spectroscopy) and their crystalline phase (e.g. Raman spectroscopy, powder X-ray diffraction), with the judgement to reconcile results across techniques. Hands-on experience with in-line colloidal characterisation is desirable. Python skills for data analysis and a demonstrated interest in high-throughput experimental methods are essential.

Experience in bio-templated or protein-mediated mineralisation, protein¿inorganic interfaces, or functional inorganic nanomaterials (e.g. magnetic or optical) is desirable, as is prior experience of high-throughput or automated experimentation and data-driven experimental design (e.g. Bayesian optimisation). Electron microscopy and magnetometry are carried out with project collaborators; experience in preparing samples for, and interpreting, scanning or transmission electron microscopy or SQUID magnetometry is welcome but not required.

The successful candidate will contribute intellectually to research on the protein-templated assembly of inorganic nanoparticles. They will establish and run a multimodal, multi-fidelity screening workflow, including rapid colloidal screening followed by phase identification to find synthesis conditions that deliver these targets and to understand the assembly across length scales. They will work closely with the protein design, biomineralisation and advanced characterisation teams across the project; teamwork is essential to the role. They will also contribute to drafting scientific manuscripts and support the day-to-day supervision of Master's and PhD students.

Applicants should hold a PhD in Materials Science, Chemistry, Chemical Engineering, or a related discipline, and demonstrate the ability to work both independently and as part of an interdisciplinary team spanning chemistry, biology, physics, mechanical engineering, and computer science. The successful candidate will work in the Autonomous Materials Group under the supervision of Dr Shijing Sun and collaborate across the ARIA project teams.

This job is part of an Advanced Research + Invention Agency-funded project; as a result funding for this position is only confirmed for 12 months. Further details can be discussed at interview.

Application deadline: 30 November 2026

For more information and to apply visit https://www.jobs.cam.ac.uk/job/57569/