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September 11, 2025

**Job Description**
The School of EECS at Queen Mary University of London seeks a researcher to work on decision-making systems in electromagnetic warfare. This collaborative project between the Machine Intelligence and Decision Systems (MInDS) group and the Antennas & Electromagnetics group is funded by the Defence Science and Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. The role involves modelling hypothetical scenarios, with and without data, for structured decision-making under uncertainty, focusing on interpretable probabilistic, causal, Bayesian, and knowledge-based networks. The researcher may develop autonomous electromagnetic warfare systems to evaluate their effectiveness under hypothetical electromagnetic defence and offence strategies under uncertainty.

**Skills & Abilities**
• Willingness to broaden knowledge in electromagnetics

**Qualifications**
Required Degree(s) in:
• Modelling hypothetical scenarios, with and without data, for structured decision-making under uncertainty (relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks)

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Work Level
Ph.D
Employment Type
Research Job
Salary
Annual Salary: Competitive salaries Benefits: Pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed term), season ticket loan scheme, access to comprehensive personal and professional development opportunities, work-life balance and family-friendly inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
Details
Temporary Brief location description: Campus-based at Mile End campus
School / Department / Center / Lab
• School of EECS • Machine Intelligence and Decision Systems (MInDS) group • Antennas & Electromagnetics group
Supervisor(s)
Dr Anthony Constantinou Prof Akram Alomainy
Supervisor Email
See Details
Queen Mary University of London
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