Algorithm Developer - Maritime

Key Skills

Aartificial intelligence, Algorithms, C Programming, Linear Algebra, MATLAB Programming, Presentation skills, Statistics

Job Description

Thales people provide armed forces customers with operational advantage at every decisive moment throughout the mission. Defence and armed forces customers rely on us to deliver the full range of defence mission systems solutions at land, sea, and air. Our platforms extend across the battlespace including Above and Sonar, Electronic Combat, and Intelligence, Surveillance and Reconnaissance systems.

Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across five major industries; Aerospace, Defence, Ground Transportation, Security and Space. Your health and well-being matters to us and that’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.

Algorithm Developer
Cheadle/Hybrid Working

Thales Maritime Mission Systems (MMS) operates is a global leader in research activities and systems development, supplying Navies, Coast Guards and Search & Rescue teams with the most advanced technical capabilities. Our portfolio includes Autonomous Systems, System Integration, Comms and Sonar expertise.

Our MMS team based at Cheadle is expanding due to research and development programmes aimed at enhancing capabilities and exploring new technologies and system. We therefore are actively recruiting for an Algorithm Developer to join our team immediately, and on a permanent basis.

This role would be well-suited to individuals with a PhD or MSc in Science, Maths or Physics and have gained exposure to Linear Algebra, Sonar Systems or Sensors. If you wish to pursue a career in Maritime, focused in R&D, with huge career development potential, there is no better place than Thales.

What does the job involve?

The General Sonar Studies team delivers low TRL and study activities to external and internal customers and are central to the development and procurement of concepts, capabilities and solutions to anticipate and address the most challenging customer requirements.

• You’ll be joining an agile and dynamic team at the forefront of UK maritime data exploitation and processing.
• Development of sonar processing algorithms, development of AI solutions, development of data fusion and tracking algorithms, research studies, performance prediction and trials analysis.
• Collaboration inside and outside the company is central to the approach employed.
• Enable and contribute to innovation activities in the Maritime Mission Systems business area. Working with a team of highly capable specialists the candidate will support the delivery of better customer decisions across the mission cycle through revolutionary data exploitation and processing techniques. 
• Support the development of compelling, collaborative solutions and associated bid documents for Customer Funded R&D Programmes.
• support the delivery of tasks, work packages and projects with a focus on delivery to time, budget and quality.

What are we looking for?
The role requires a flexible and proactive approach founded on academic excellence, problem solving, self-discipline, a willingness to learn, leadership, management, teamwork and the ability to create and communicate a vision.

Ideally candidates will have obtained a PhD in a STEM domain, however candidates with an MSc and relevant experience across one of the below requirement can also be considered.

We will be looking for candidate to have a background of innovation in one or more of the following areas:

• Statistical and stochastic processes and linear algebra.
• Large Array Processing, Towed Array Processing or High Frequency Array Processing (including Intercept Systems)
• Adaptive Beamforming
• Bayesian Systems
• Artificial Intelligence applied to Sensor Processing
• Big Data Processing and Data Analytics
• Bulk Data Processing TechniquesT0
• Oceanography and Performance Modelling

Additional experience:

• Matlab or equivalent knowledge would be advantageous
• Experience of auto-coding from Matlab to C is desirable but not essential.
• Experience technical report writing, presentation preparation and generation and presentation/communication skills for papers, seminars, conferences etc. is highly desirable.

What we can offer

We’re committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation.

Our packages will include bonus, a strong pension contribute plan matched up to 7%, private healthcare, life assurance, development focus targets and relocation support can be provided if required.

Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment, if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact the talent acquisition partner.

The Work Environment

At Thales, we believe in flexible SMART working and have the expectation this role will be delivered through a combination of remote and office based collaborative working. When working in the office, you will be based at the largest Thales site in the UK, featuring access to a wide variety of resources including manufacturing, environmental and electromagnetic test facilities and specialised laboratories. The modern site includes a subsidised restaurant, a café, break out spaces, bicycle storage facilities and more