Rapiscan Systems is an industry leader in detection technology, providing cargo and vehicle inspection systems and services for ports, borders, military, high-
threat facilities, and checkpoints to help customers combat terrorism, drug smuggling, illegal immigration, and trade fraud.
We offer a broad array of scanning system configurations that leverage low-, medium-, and high-energy X-ray technology or multiple X-
ray technologies to address each customer’s unique security application requirements. Our commitment to excellence in imaging performance, innovative design, and uncompromising quality ensures our solutions consistently deliver best-
in-class imaging, high reliability, and operator satisfaction, to help customers find threats and contraband with ease and confidence.
The physicist will specifically work on the design, implementation and V&V of high-energy X-ray sources and detector assemblies for use in the Non-
Intrusive Cargo and Vehicle Inspection industry. This is part of part of an expanding Science and Technology team to drive forward the R&D road map for the business.
Working alongside other physicists, software and electronics engineers they willl all bring innovative designs and concepts to market in a quick-
turn around and fast-paced environment to help expand market share, whilst supporting legacy programs and existing schemes of work.
Report to the Technical Director and co-ordinate with other members of the S&T and engineering teams.
Develop tools and techniques to help anticipate system imaging performance for future units, analyse X-ray images on current units and identify faults / failures on existing systems.
Collaborate with linear accelerator and detector vendors to trial and test new modes of operation, configurations and designs for enhanced X-
ray image performance capabilities.
Develop and maintain analytical models to predict detector response to X-ray illumination.
Explore operator assist tools using image analytics and deep learning techniques to identify suspicious items within X-ray images.
Support programs and projects to deliver fully compliant X-ray imaging systems at customer acceptance tests, both on site and at customer facilities world-wide.
Take an active role in the support of radiation exposure, leakage and safety aspects for the operation of new and existing linear accelerator platforms at the Rapiscan facility.
Develop and maintain analytical models to predict X-ray exposure to operators and members of the public.
Take responsibility for the design of X-ray based imaging systems for inspection of cargo and vehicles.
Undertake system-level design and underlying physics analysis including : -
Top down design of new projects in support of tender processes.
Bottom up design of new technologies from imaging basis.
Provision of image processing, data analysis and experimental work as required.
Build interactions with other global departments to encourage pull-through of new R&D.
Provide supervision of external University projects.
As per company policy :
Uphold the company’s core values of Integrity, Innovation, Accountability, and Teamwork
Demonstrate behavior consistent with the company’s Code of Ethics and Conduct
It is the responsibility of every employee to report to their manager or a member of senior management any quality problems or defects in order for corrective action to be implemented and to avoid recurrence of the problem
Duties may be modified or assigned at any time to meet the needs of the business.
A postgraduate degree (preferably PhD) in physics although graduates with relevant industrial experience will be considered.
Graduate / Postgraduate experience in radiation physics with experimental background.
Experience using Matlab for data analysis and C# for desktop application development.
The ability to work with others in a multi-disciplinary, fast-paced product development environment.
Willingness to support offsite (world wide) programs of work often at short notice.
Experience with programming in C++ to create Geant4 Monte Carlo models in Windows and Linux environments is highly desirable
Exposure to deep learning techniques for image classification would be advantagous.
OSI Systems, Inc. has three operating divisions : (a) Security, providing security and inspection systems, turnkey security screening solutions and related services;
b) Healthcare, providing patient monitoring, diagnostic cardiology and anesthesia systems; and (c) Optoelectronics and Manufacturing, providing specialized electronic components and electronic manufacturing services for original equipment manufacturers with applications in the defense, aerospace, medical and industrial markets, among others.