Signals/SIGINT Intelligence Specialist (271lw)
– Aerospace – hybrid/remote, Sussex - £50,000-£60,000
Our client, an
industry leader in aerospace data fusion, sensor technology & remote
monitoring systems are seeking a skilled Signal Intelligence
Specialist/Engineer, to focus on drone detection, identification, and tracking,
as well as detecting handsets and other control mechanisms. The role requires SC clearance.
The Signal
Intelligence Specialist/Engineer will play a critical role in enhancing drone
detection capabilities by leveraging signal intelligence to identify &
track drones and their control devices. This role will involve advanced signal
processing, RF detection, and communication analysis to support the real-time
detection and identification of drone threats. The specialist will work closely
with the systems engineering and sensor integration teams to develop and deploy
technologies that enhance situational awareness platforms. Responsibilities will include:
Signal Detection
& Analysis - Identify and analyse radio frequency (RF) signals associated
with drones and their controllers (handsets). Utilise advanced SIGINT tools and
techniques to detect, intercept, and process communication signals from drones.
Develop algorithms to improve signal detection sensitivity and accuracy,
enhancing the system's ability to track drone activity.
Drone Tracking
& Identification - Support the design, development, and deployment of tools
for detecting and tracking drones using RF signals. Provide real-time
intelligence on drone movements and control sources.
Threat
Intelligence - Evaluate and understand the latest developments in drone
communication technologies (including frequency hopping, encrypted signals,
etc.). Conduct threat assessments and maintain intelligence on emerging drone
communication systems.
System Integration
- Collaborate with engineering teams to integrate SIGINT capabilities into existing systems. Perform field tests and
trials to validate system performance in real-world conditions.
Research &
Development - Conduct research into new and evolving drone communication
techniques and identify methods to exploit signal vulnerabilities.
Skills &
Experience
Signal
intelligence (SIGINT), electronic warfare (EW), or RF analysis, ideally within
a drone or aerospace context.
Signal processing,
frequency analysis, and the use of SIGINT tools (e.g., spectrum analysers, direction-finding
systems).
RF communications,
incl. modern digital modulation techniques & protocols used by drones.
Passive detection
techniques such as Angle of Arrival (AoA) and Time Difference of Arrival
(TDoA).
Familiarity with
detecting and countering frequency-hopping spread spectrum (FHSS) and encrypted
communications.
Ability to
interpret and analyse signal data for tracking and identifying drone
controllers.
Familiarity with
integration of SIGINT into larger situational awareness systems and data fusion
technologies.
It would be desirable to have a Degree in Electrical Engineering, Communications
Engineering, or a related field. Knowledge of drone detection technologies such
as ADS-B, MLAT, RF direction-finding, TDoA. Experience with AI and machine
learning models applied to signal analysis and threat detection. Familiarity
with commercial or open-source SIGINT software (e.g., GNU Radio, SDR
platforms). MATLAB toolchain. Python software language
If you are
interested in applying, please send a copy of your CV & outlining why this
would be the ideal opportunity for you, to Liz Walsh at Ex-Mil Recruitment Ltd
or by email to liz@ex-mil.co.uk
https://www.ex-mil.co.uk/vacancies/7872/signalssigint-intelligence-specialist-aerospace