PhD in Electrical Engineering - Battlefield Effect Assessment Using Digital Twins

The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3-year PhD project entitled ‘Battlefield Effect Assessment Using Digital Twins’ as part of the £7m DTSL funded Electromagnetic Environment Hub bringing leading groups and industrial partners working towards next generation and generation after next science and technology research and capacity building.

The complexity and unpredictability of modern warfare make it challenging to assess the impact of battlefield effects accurately. Traditional methods rely heavily on human expertise and physical experimentation, which can be costly and time-consuming. However, advances in digital twin technology offer a promising solution to this problem. Digital twin technology involves creating a virtual replica of a physical system, which can be used to simulate different scenarios and predict their outcomes. The main objectives of this PhD project include:

·      To identify and understand the key factors that influence the effectiveness of different weapons and tactics on the battlefield and integrate them into the digital twin model.

·      To develop a digital twin model of a representative battlefield environment, including terrain, structures, and key assets.

·      To validate the accuracy of the digital twin model by comparing its predictions to real-world data and experimentation results.

·      To develop guidelines and best practices for using digital twin technology for battlefield effect assessment.

Application for this scholarship is made by using the online system at the following link:

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Autonomous Systems and Connectivity

Please note that this application is to gain admission to our PGR programme, and an offer of admission may be issued before a decision on this Scholarship is made. Candidates applying for this Scholarship will most likely have an interview/discussion with the supervisor before any decision is made.

Candidates should have a first or upper second-class honours degree or equivalent in any relevant area including Electronic and Computer Engineering, Mathematics, Physics or Material Science, and the ability to demonstrate strong communication skills. Candidates with industrial experiences are also welcome.