At a Glance
- Tasks: Join us to model and analyse Radio Frequency systems for UK defence.
- Company: MASS is a global tech company focused on advanced digital services for secure organisations.
- Benefits: Enjoy 25 days leave, private medical insurance, and flexible work options.
- Why this job: Be part of a dynamic team making a real impact in defence technology.
- Qualifications: Degree in Science or Engineering; experience with modelling tools like MATLAB or Python.
- Other info: Must be a UK National eligible for security clearance.
The predicted salary is between 34000 - 51000 £ per year.
Radio Frequency Modeller/Analyst – Permanent – Full Time
On-site Based:Porton Down, Salisbury
- £40,000 – £60,000 -Dependant on experience
- 25 days annual leave inclusive of up to 3 days Christmas shutdown
- Buy or sell up to 5 days’ annual leave
- Two pension schemes to choose from
- Private Medical Insurance + discounts for additional family members
- Life Assurance scheme up to 4 x salary
- Share Save scheme
- Electric/Hybrid Car leasing scheme
- Cycle to work scheme
- Retail discounts
- Career development support
Our Electronic Warfare Operations Support (EWOS) Group is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists and ex-military personnel combine their experience to help our customers achieve their true operational potential and ultimately help keep their people and platforms safe.
How you’ll support us
Working on-site, embedded within our customer team, you will be offering your expertise on Radio Frequency (RF) modelling and simulation, using ground-breaking science to support the UK’s front-line defence.
There are two main areas of modelling and analysis which the role will be working on. First, the continued design, development, and operation of software used to verify and validate EW systems across industry partners. The second area of model development and analysis is used to assess novel EW techniques and their effectiveness, with outputs being used to plan future trials.
Whilst the two areas specified above will be the immediate priority work, beyond this there are lots of opportunity to be involved in other research, development, testing, analysis, and validation activities across the air platform/mission survivability modelling and simulation domain.
This unparalleled access through our customer will help accelerate you as a Subject Matter Expert (SME), allowing you to branch into specialisms as your career progresses.
The invaluable experience you’ll bring, to help us achieve more
Working within the Air countermeasure team you will have access to a variety of projects, covering modelling & simulation in software, synthetic, and real-world environments.
Your understanding of radar processing, operation, and doctrine will help to generate verified models that inform concept development and assessment.
Experience in a related field is valued greatly!
Essential:
- Degree level or equivalent in a Science or Engineering discipline (e.g. Maths, Physics or Engineering).
- Knowledge of model and simulations techniques to real-world scenarios.
- Experience in the development of models and tools in order to provide evidence data (MATLAB, Python, or C++).
- Providing analysis and writing reports from the outputs of simulation runs.
Desirable:
- Digital signal processing techniques used in EW systems.
- RF domain knowledge and/or RF modelling experience (e.g. RF environments, RF Threat system understanding, RF countermeasure development).
- Experience verifying and validated software (unit and system levels).
- Experience in running simulations, developing and running models on a Linux Operating System and common Linux tools (BASH, PERL).
- Knowledge of Tactics, Techniques, and Procedures (TTPs) of EW capability within the Air domain.
- Knowledge of version/source control software (Git, Bitbucket).
- Interest in cutting-edge technologies.
Our non-negotiables:
- Due to the highly secure environment that our work is conducted in, youmustbe a UK National, eligible to work and live in the UKandbe eligible to undergo and maintain appropriate UK governmentSC Security Clearance.
Who is MASS?
MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you’re ready for digital transformation.
Apply todayto see how working for MASS could work for you!
MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact.
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Radio Frequency Modeller / Analyst employer: Mass Consultants Ltd
Contact Detail:
Mass Consultants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Radio Frequency Modeller / Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in Radio Frequency modelling and simulation. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the electronic warfare and RF modelling fields. Attend relevant conferences or webinars, and connect with industry experts on platforms like LinkedIn. This can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in MATLAB, Python, or C++. Being able to demonstrate your technical proficiency in these areas during discussions can set you apart from other candidates.
✨Tip Number 4
Research MASS and their projects thoroughly. Understanding their mission and recent developments will enable you to tailor your conversations and show how your skills align with their goals, making you a more attractive candidate.
We think you need these skills to ace Radio Frequency Modeller / Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Radio Frequency modelling and analysis. Emphasise your degree in a Science or Engineering discipline and any specific skills in MATLAB, Python, or C++.
Craft a Strong Cover Letter: Write a cover letter that connects your background to the job description. Mention your understanding of radar processing and any experience with digital signal processing techniques, as these are essential for the role.
Showcase Relevant Projects: If you have worked on projects involving RF modelling or simulations, describe them in your application. Highlight your contributions and the outcomes, especially if they relate to the defence sector.
Highlight Security Clearance Eligibility: Since the role requires UK government SC Security Clearance, make sure to mention your eligibility to undergo and maintain this clearance in your application.
How to prepare for a job interview at Mass Consultants Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with modelling and simulation techniques, especially in MATLAB, Python, or C++. Be prepared to discuss specific projects where you've developed models or tools that provided evidence data.
✨Understand the Role's Context
Familiarise yourself with the Electronic Warfare Operations Support (EWOS) Group and its objectives. Understanding how your role as a Radio Frequency Modeller/Analyst fits into the larger picture will demonstrate your commitment and interest in the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've successfully applied your knowledge of radar processing or RF environments to overcome challenges.
✨Emphasise Your Teamwork Experience
Since the role involves working closely with a customer team, be ready to discuss your experiences in collaborative environments. Highlight any past roles where you contributed to team success, particularly in high-stakes or technical settings.