Research & Development Engineer - Digital Signal Processing

  • Job Reference: GS-FDE-DSP-B-0819
  • Date Posted: 15 June 2021
  • Recruiter: Clearly Defined Limited
  • Location: Bristol
  • Salary: £50,000 to £55,000
  • Bonus/Benefits: Excellent Benefits
  • Sector: Engineering Technology, IT and Technology
  • Job Type: Permanent
  • Contact: Gary Smith
  • Email:
  • Telephone: 01273 890 962

Job Description

Research & Development Engineer - Digital Signal Processing

Advanced Medical Imaging Development

The DSP Engineer (radar expert) will be contribute to development and industrial research in support of the Company’s active R&D work streams. Responsible for the evaluation, design, and improving radar imaging system and techniques for medical applications. Developing algorithm, and implement imaging and analytical aspect of the commercial software.


  • Develop and implement novel radar imaging technique for medical applications;
  • Assessing technologies to improve/ extend the Company’s radar imaging techniques;
  • Making contributions to R&D resulting in novel functionality and new product offerings;
  • Documentation in forms of technical papers, and presentation; and
  • Contribute in patents application.

Essential Knowledge, Skills and Abilities:

  • Good solid background in digital signal processing / DSP.
  • Knowledge of medical imaging (e.g., Ultrasound, CT, and/or MRI) theory, reconstruction and applications.
  • Experience in medical imaging or biomedical signal statistical analysis.
  • Familiar with Pattern Recognition technique, e.g. feature extraction and classification.
  • MATLAB (or close equivalent) prototyping skills.


  • Experience working in a regulated commercial environment (medical, aviation, automotive) including traceability requirements and risk management.
  • Experience in radar imaging techniques including synthetic aperture radar (SAR) and the ability to develop new algorithms and techniques related to radar imaging, such as algorithms involving image focusing/reconstruction, beam-forming, compressive sensing, automatic target recognition, machine learning, etc.
  • Demonstrated ability to model and simulate complex array and antenna design using a variety of open-source or commercial electromagnetic simulation tools.
  • Experience with system that rely on microwave propagation in complex medium.
  • Knowledge and experience in Inverse scattering problem.
  • C, C++, C# Object Oriented Programming, familiar with Visual Studio.