This e-mail means to advertise an intriguing new opportunity for a full three-year PhD Scholarship in a state-of-the-art thematic area referring to Cybersecurity and Autonomous Vehicles under my supervision, starting this January at the University of Huddersfield.
This is a studentship funded by the Huddersfield Business School and the University's prestigious Artificial Intelligence Research Fund initiative.
The title of the topic currently is Understanding Public Perceptions for the Cybersecurity of Autonomous and Connected Vehicles: A Human Factors Study for ‘Safe-guarding’ Artificial Intelligence in Road Transport and refers to a project that is designed to be a genuinely interdisciplinary one.
The second supervisor is Dr Kyle Wilson.
Topic Description: The interest with which the scientific world, the markets and societies anticipate a full scale launch of autonomous and connected vehicles, one of the most impactful and ‘near to completion’ applications of artificial intelligence, is higher than ever before. This is because these vehicles have, in theory at least, the potential to utterly transform urban development as known today, with a revolution in road transport, regulations permitting, that could dramatically change the landscape of cities and have an enormous socio-economic, spatial mobility and business impact. Although recent studies showed that a priori acceptability of artificial intelligence in road transport could be likely for many drivers today the future may be far more complex. The implementation of vehicle automation will not be straightforward, predictable or unproblematic; there is a wide spectrum of challenges, social dilemmas and complicated human factors issues that may arise from such an ‘untested’ and ‘powerful’ innovation. Cybersecurity threats constitute one of the key problems that need to be addressed and a socio-psychological barrier that might make individuals and even societies as a whole, less willing to embrace driverless vehicle technologies. The proposed PhD study aims to develop a theoretical and empirical framework for understanding public attitudes towards cybersecurity in automated and connected vehicles and predict behavioural patterns and human-machine interaction trends in a crisis situation; it will be primarily a user-centred study of socio-technical nature. The PhD will ultimately try to identify how a new automated and connected transport network could be (or at least perceived by its users to be) robust to disturbances, failures and threats of an unexpected and malicious nature. This approach means that the research will ultimately identify and examine the cybersecurity dimensions of transport resilience in a new era for urban mobility governed by artificial intelligence.
Eligibility: The scholarship is open to all Home/UK, EU and International PhD students, who intend to begin their PhD studies during January 2018 (or soon after).
Scholarship package: The scholarship consists of a full tuition at the Home/UK, EU or International student fee rate and a bursary of £14,553 in the first year (£1,212 per month), £14,815 in the second year (£1,234 per month) and £15,082 in the third year (£1,256 per month), which is subject to satisfactory annual performance and progression review.
Deadline for applying: Monday 11th December 2017 (23.59, BST).
Possible date for interview: Thursday 14th December 2017.
For more information and for applying with us please take a look at PhD Scholarships in Business and Management: https://research.hud.ac.uk/research-degrees/researchscholarships/phdscholarshipsinbusinessandmanagement/
An informative advertisement is also available at : https://www.findaphd.com/search/ProjectDetails.aspx?PJID=91602
If you need anything more please feel free to contact me directly.
Dr Alexandros Nikitas
MEng, MSc, MA, PGCHE, FHEA, PhD
Senior Lecturer in Transport
Tel: +44 (0) 1484 471815
E-mail: [log in to unmask]
Department of Logistics, Operations, Hospitality and Marketing | Huddersfield Business School
University of Huddersfield | Queensgate | Huddersfield | HD1 3DH | United Kingdom
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