Jack James Tyson
BEng (Hons)
Doctoral Researcher in Silicon Photovoltaics and the Head of Mirror Park
Jack is an electronic engineer from Crawley, West Sussex. Before joining the CDT-PV in 2018, he completed his studies with the School of Electronics and Computer Science (ECS) at the University of Southampton where he began to specialise in nanotechnology and semiconductor device physics. His research interests consolidate subject fields such as materials science, semiconductor physics, computational modelling and nanotechnology. Jack currently holds the position of Doctoral Researcher at the University of Southampton.  
He was responsible for the creation of the first non-linear black silicon finite element model, and followed with the design and construction of the Automated Variable Angle Reflectometer (AVAR). The scope of his work leads him to collaborate with research groups at the University of Oxford in the UK as well as the University of Dhaka in Bangladesh. 
Aside from research and development, Jack also teaches in undergraduate engineering and computer science labs and is the head of Mirror Park; an organisation he started in 2014 to design websites for many of it's clients, which include national organisations such as the UK Solar Energy Society and the PVSAT conference. To unwind, he spends a considerable amount of his time driving to new places or playing video games and guitar; all whilst drinking substantial quantities of coffee.
Email// contact@jacktyson.net
Location// City of Southampton, Hampshire, UK
LinkedIn// jcktysn
ORCID// 0000-0002-3112-5899
Computer Hardware
Materials Science
Silicon Photovoltaics
Statistical Mathematics
Semiconductor Device Physics
Finite Element Analysis (COMSOL)
Data Analysis
Linux Server Administration
Web Design
Scientific Report Authoring (LaTeX)
Matrix Manipulation (MATLAB)
Doctoral Researcher
September 2018 - Present
University of Southampton
June 2018 - September 2018
Systems Manager
October 2015 - Present
Mirror Park
Systems Designer
January 2014 - October 2015
Software Engineer Intern
August 2014
Systems Engineer Intern
July 2014
Invensys Eurotherm
Software Engineer Intern
August 2010
Standard Chartered
Studies and Papers
Optical Simulation of Heterogeneous Black Silicon Surfaces using Geometric Randomisation and Unit-cell Based Averaging
15th Photovoltaic Science, Application and Technology Conference (PVSAT-15)
April 2019
Lead Author
In this work, we present a method of simulating the reflectance spectra of black silicon surfaces using the finite element method. Outlined is the design and verification of a new set of algorithm controlled geometries, rendering a vast array of different structural permutations, whilst measuring the spectral response of each individually. Our model is focussed on the variation of these geometries within the limits of certain ranged parameters for quantities such as nanowire height, radius, pitch, bend and bunching. Also explored was the variation of nanowire positioning within the simulation domain, leading to the more accurate depiction of non-uniform spacing between any given pair. Reflectance data was collated and averaged from all of the random models to reliably determine the reflectance of an entire b-Si surface. The successful comparison between simulated results and their real equivalents showcased a simulation model versatile enough to predict the spectra of new and unorthodox designs.
EPSRC open access
Bunched Silicon Nanowires for Enhanced Light Trapping in Solar Cells
15th Photovoltaic Science, Application and Technology Conference (PVSAT-15)
April 2019
Abstract currently unavailable.
EPSRC open access
Micro-thermal Flow-rate Detection for Lab-on-a-chip Technologies
University of Southampton
May 2018
Lead Author
Flow-rate detection forms an integral component of a wide variety of analysis systems. With the micro-scale advancements of such technologies this is an area of interest, particularly for fluid-based medical applications, in which many different form-factors employing a variety of different detection methods can be seen. In this paper, an investigation into the plausibility and implications behind the application of a new calorimetric-based thermal flow-rate sensor for micro-fluidic lab-on-a-chip devices was conducted. Several variants of the design were created to identify the combination of components and input parameters yielding the best performance. Passive sensors offered a power-efficient, noise and drift resistant solution, proving stable flow-rate detection could be achieved using electrode plates in-place of the common hot-wire techniques used widely at the time. This design could also be used in-conjunction with digital computation hardware for integrated analysis and reporting on-chip without the need for expensive external hardware.
ECS bachelors thesis archive
The University of Southampton
September 2018 - Present
Doctor of Philosophy
Electronic and Electrical Engineering (Materials Science)
The University of Southampton
September 2015 - June 2018
Bachelor of Engineering (with Honours)
Electronic Engineering (Nanotechnology)
The University of Sheffield
September 2014 - May 2015
Certificate of Higher Education
Electronic and Electrical Engineering