Signal Processing Engineer
Posted 12 Oct 2026
Advertised as “Signal Processing Engineer / Technology Physicist”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
No salary listed for this role.
Field of studyApplied Mathematics, Electrical Engineering, Electronics Engineering, Physics, Signal Processing (or related)
Study levelDoctorate
Build sensing technology that finds what others cannot
Minelab designs and manufactures world-leading metal detectors used to find gold, recover historically significant objects and help humanitarian organisations clear landmines.
The performance of our products begins with the underlying sensing technology. We develop that technology - from first-principles investigation and rapid prototyping through to embedded algorithms, product integration and manufacturing.
Minelab is part of Codan Limited, an ASX-listed global technology group and member of the S&P/ASX 100. This role is based at our head office in Mawson Lakes, Adelaide.
About the Role
We are looking for someone from either a signal processing engineering or physics background.
You will join Minelab’s Physics and Signal Processing team and help turn extremely faint sensor signals into reliable detection and classification performance.
The work spans algorithm development, mathematical modelling, experimentation, data analysis and practical product development. You will investigate new sensing concepts, bring up prototypes, analyse laboratory and field data, and help integrate successful algorithms into real products.
The role is particularly well suited to someone equally comfortable with mathematical abstraction and physical experimentation - a deep technical thinker and hands-on problem-solver who enjoys carrying ideas from first-principles analysis through working prototypes to proven real-world performance.
What you’ll do
- Develop statistical and digital signal-processing algorithms to detect and classify faint signals in challenging environments
- Design robust signal features, estimators, classifiers and sensor-calibration methods
- Build prototypes, plan experiments and evaluate competing approaches using laboratory and field data
- Investigate signal-quality and system-performance problems across sensors, electronics, algorithms and calibration
- Work with embedded software, electronics, mechanical and systems engineers to translate successful prototypes into reliable products
- Explore new sensor concepts and technologies that could deliver meaningful customer benefits
What you’ll bring
- A PhD in physics, electrical or electronic engineering, signal processing, applied mathematics or a related discipline is strongly preferred; candidates with equivalent depth developed through postgraduate study or relevant industry research will also be considered
- Strong foundations in statistics, linear algebra and numerical methods
- Proficiency with numerical computing, preferably using Python and its scientific stack