Real-Time Software & Algorithms Internship (12 month placement)

Computer Science/Software/Maths/Physics.

Introduction 

We develop innovative products at the exciting intersection of High-Performance Real-Time Computing and Signal Processing.

Are you...

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  • a talented technologist – with a can-do attitude and a real thirst for building exciting new things and making technology work
  • a smart developer – who relishes getting their hands dirty at the core of state-of-the-art Signal Processing and Machine Learning algorithms
  • a keen learner – seizing the opportunity to push at the bounds of their understanding and cut their teeth in new and exciting areas.

We are looking for students undertaking a relevant academic degree or research experience, who are keen to start gaining experience in the industry.

What we can offer you

You will be part of the Signal Processing Department within the Wireless and Digital Services Division. Examples of projects we have worked on in the past are: 

  • ultra-reliable communications for satellites,
  • next-generation broadband air-to-ground network,
  • IP block acceleration of Voice Activity Detection using custom in-house DSP cores, 
  • map based indoor navigation using sensor fusion,
  • next generation commercial radio receiver design,
  • development of the communication system for a fleet of moving bots in a challenging indoor environment.

Projects can start off as small, rapid studies and progress towards large multi-disciplinary systems which involve 50 engineers and more. Our work engages with a broad range of industries and applications, but the underlying premise is of developing innovative and bespoke systems that cannot be bought off the shelf.

The range of projects on which we work each come with their own distinct set of challenges. We can offer the opportunity to get involved with everything from first-principles thinking and research through to the design, development and deployment of live systems, providing you with all of the support, mentoring and training you need. You will work as part of a team to achieve high-quality deliveries, compliant with the client’s requirements.

You will have the opportunity to play a real part in creating the Cambridge Consultants of tomorrow, working alongside a supportive team, developing our capabilities, and driving the advancement of technology into the unknown.

What you can bring

We are looking for someone undertaking a degree in a relevant subject, such as engineering, computer science, mathematics, or physics, and has:

  • Good software skills and experience in programming 
  • Strong mathematical aptitude and intuition
  • A passion for engineering and technology
  • An imaginative and inquisitive mind and eagerness to learn new skills

In addition, any experience of the following would be advantageous, but certainly not necessary:

  • Signal processing techniques and transforms (digital filters, Fourier analysis, z-transforms, matrix transforms etc.)
  • Data analysis/modelling using languages such as Python or MATLAB
  • C or other low-level language
  • Working with embedded hardware and tool chains.

Benefits

Interns gain invaluable hands-on experience by working alongside our staff on real projects. It’s also a chance to show us what you can do – internships can sometimes lead to the offer of a full-time job once you’ve completed your studies, therefore we invite applications from people who may be interested in applying for a full-time job with us after their degree. 

Some of our excellent benefits include a good salary (pro-rata), free canteen - lunches and refreshments, flexible working hours, and access to the social committee.

Please note: we may close this vacancy before the stated closing date should we receive a high volume of applications. 

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Job ID Number: 1656
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Shortlisted
  • Deadline
    February 29th, 2024
  • Salary
    Competitive + benefits
  • Degree required
    2:1 and above (expected)
  • Duration
    12 months
  • Location
    Cambridge
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Preferred Disciplines...
  • Computer Science
  • Cyber Security
  • Data Science
  • Hardware
  • IT Architecture
  • Information Technology
  • Robotics
  • Software
  • Systems
  • Telecommunications
  • Web Development
Also Accepting...
  • All STEM disciplines
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