Plasmonic metamaterials for the sensitive quantification of aquatic pollutants
£22,000 - £22,000
Jun 01, 2026
United Kingdom
individual
About This Opportunity
This PhD studentship opportunity focuses on developing novel sensing architectures and high-affinity transducer coatings for the ultrasensitive detection of aquatic pollutants. The project addresses the urgent threat of aquatic pollution from contaminants including PFAS, phthalates, and antibiotics. Using optical techniques based on nanomaterials, particularly plasmonic metamaterials, the research aims to create portable, cost-effective environmental sensing platforms. The successful candidate will work on developing sensing architectures using plasmonic metamaterials fabricated through scalable self-assembled electrochemical approaches. The project involves collaboration with industry partners to identify and detect specific aquatic pollutants. The candidate will gain comprehensive experience in nanofabrication, optical and structural characterisation, numerical modelling, and the design and testing of transducer coatings across both idealised and real-world sample matrices. This interdisciplinary PhD appeals to candidates interested in materials science, optical sensing, and environmental chemistry. The candidate will be embedded in the world-leading research environment of the Photonics & Nanotechnology Group at King's College London, with excellent collaboration opportunities through the EPSRC MetaHub and the London Centre for Nanotechnology.
Who Can Apply
- Region
- United Kingdom
- Citizenship
- United Kingdom
- Residency
- United Kingdom
- Applicants
- individual
Application Details
Stages
- 1 single_stage
Review process
Apply online via King's Apply admissions portal for Physics Full-time MPhil/PhD, indicating Dr Wayne Dickson as supervisor and quoting the project title. Use funding code 995 in the application form.
Additional benefits
- travel_support
- training
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
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Always verify on the official sourceKey Information
- Award Amount
- £22,000 - £22,000
- Application Deadline
-
June 01, 2026 at 23:59 UTCDue in 91 days
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