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Rupam Das

5 months ago

PhD in Development of Nanoengineered Wireless Graphene Sensors for Real-Time Neurochemical Monitoring University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Biomedical Engineering

Funding

Full funding available

Deadline

Expired

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Country

United Kingdom

University

University of Exeter

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Keywords

Biomedical Engineering
Electrical Engineering
Materials Science
Nanotechnology
Neuropsychology
Medical Science
Wireless Sensor Network

About this position

[£20,780 per year stipend.]

Project Overview: This fully funded PhD position at the University of Exeter offers an exciting opportunity to develop a cutting-edge wireless, nanoengineered graphene-based biosensor for real-time dopamine (DA) detection. The project is designed to advance neurochemical monitoring technologies, enabling chronic, untethered measurement of DA for both clinical and research applications. The sensor’s wireless capabilities will facilitate integration into dynamic neuromodulation systems, supporting closed-loop therapeutic interventions for neurological disorders.

Research Context: Biosensor technology is rapidly evolving to meet the demands of modern biomedical research, particularly for real-time monitoring of biomolecules like dopamine—a key neuromodulator involved in reward, motivation, motor control, and diseases such as Parkinson’s and addiction. Current methods lack the precision and dynamic feedback required for advanced therapeutic applications. This project leverages graphene’s exceptional electrochemical properties, enhanced through nanoengineering, to overcome these limitations and deliver a high-performance, selective, and stable DA biosensor.

Methodology:

  • Synthesis and Characterisation of Nanoengineered Graphene: Multilayer graphene will be synthesized via chemical vapor deposition (CVD) on nickel substrates, transferred to flexible polyimide substrates, and nanoengineered using defect introduction (electron beam lithography, plasma treatments) and doping (Ni-doped V₂O₅, CeO₂ nanoparticles, boron/nitrogen-doped quantum dots). Characterisation will employ Raman spectroscopy, SEM, AFM, and electrochemical analysis (CV, FSCV) to optimize DA detection.
  • Integration of Wireless Functionality: The sensor will be embedded on a flexible substrate with wireless electronic components, including a dual band implantable antenna for communication and power, low-power signal conditioning electronics, and reliable data transmission to external receivers for real-time DA monitoring.
  • Selectivity and Interference Analysis: Sensor performance will be validated in solutions containing DA and common interferants (uric acid, ascorbic acid, norepinephrine, serotonin, DA metabolites), ensuring high selectivity and stable wireless operation in complex environments.

Supervision and Research Environment: The project will be supervised by Dr Rupam Das and Prof Monica Craciun, experts in biosensors and advanced materials. The University of Exeter provides a vibrant research environment with access to state-of-the-art facilities for nanomaterials synthesis, device fabrication, and neurochemical analysis.

Funding: The position offers a competitive stipend of £20,780 per year, supporting tuition and living expenses.

Eligibility: Applicants should have a strong background in engineering, physics, materials science, biomedical sciences, or related fields. Experience with nanomaterials, biosensors, or electrochemical analysis is desirable. International candidates may need to demonstrate English language proficiency.

Application Process: Applications are open until 12 January 2026. Interested candidates should apply via the University of Exeter funding page and contact the supervisors for project-specific queries.

Contact: Dr Rupam Das ([email protected]), Prof Monica Craciun ([email protected])

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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