Characterisation PDRA (Fixed Term)
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Characterisation PDRA (Fixed Term)
Fixed-term: The Research Associate position is available from 1 February 2027, or as soon as possible thereafter, for 12 months.
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.
Successful candidates who have not yet received their PhD by 1 January 2027 will be employed on University Grade 5 SP038 as Research Assistants (£35,302). Upon being awarded their PhD, their salary will be upgraded to Grade 7 041 (£38,448) as Research Associates.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
We encourage early applications, as the vacancy may close before the advertised deadline if a sufficient number of suitable applications are received.
Documents in support of applications should include a CV and a research statement (max. two pages) addressing the candidate's experience in nanoparticle synthesis and characterisation and their interest in high-throughput, automated experimental methods.
Should you have any queries, please reach out to Ana Talaban-Bailey: ajt69@msm.cam.ac.uk , with a copy to: hrmsm@msm.cam.ac.uk
Please quote reference LJ51507 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Apply online
Download further information
- Further Particulars
Department/location
Department of Materials Science and Metallurgy
Salary
£34,610-£35,608 £37,694-£46,049
Reference
LJ51507
Category
Research
Date published
28 October 2026
Closing date
30 November 2026
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