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PhD Engineering: Modelling and Simulations of Digital Fingerprints Based on Quantum Technology

  • Full or part time
  • Application Deadline
    Friday, December 21, 2018
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

The School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3.5-year Ph.D. project entitled Multi-scaled Simulations of Digital Fingerprints within the Electronics and Nanoscale Engineering.

Life in the 21st century means interlinking between people and electronic devices on an unprecedented scale. It is predicted that in just a few years as many as 50 billion devices will be connected together making up the Internet of Things. Connecting those devices together requires a security connection, which currently is a significant challenge. One way to solve this problem is to use the quantum mechanical properties of novel materials, such as graphene, to create the so-called ‘digital fingerprints’.

The main aim of this project is to explore and optimise various materials and electronic device structures to create ‘digital fingerprints’ which will be based on quantum technology. Some of the tasks that the Ph.D. student will be performing during this project include running numerical simulations, developing a multi-physics computational framework and writing scripts to analyse the simulation results. During the project the Ph.D. student will be working in close collaboration with a spin-out company, Quantum Base, which will be providing the experimental results to validate the models and simulation results. The far-reaching goal of this project is to commercialise the technology and develop next generations of ‘digital fingerprints’ based on quantum technology.

The ideal candidate will have good computational skills and background in Engineering, Physics or Chemistry. Applicants require an upper-second or first-class BSc Honours degree, or a Masters qualification of equal or higher standard, in Physics, Chemistry or Engineering. Knowledge of computational methods, such as the Density Functional Theory (DFT), and numerical methods is highly advantageous but not mandatory. Programming skills are not required but will be beneficial. The candidate must be self-motivated, interested in conducting interdisciplinary computational and theoretical research and to have good interpersonal skills.
The student will be part of the Device Modelling Group ( in the University of Glasgow, which is one of the leading specialised simulation groups worldwide.

Funding Notes

The studentship is supported by the School, and it will cover home tuition fees and provide a stipend for 3.5 years (estimated £14,999 for session 2019/20).

To be eligible for this funding, applicants must have a ‘settled status’ in the United Kingdom and must have been an ‘ordinarily resident’ for the past three years.

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