5 of 5 Remote/Hybrid Signal Processing Jobs in the East of England

digital electronics including PCB and FPGA design. Further, due to the complexities involved in their products, it is not uncommon that their electronics utilises signal processing, AI, RF and software components. This is very much a hands-on role, but there are opportunities for project technical leadership … ASIC design including verification using Verilog. Your general digital design experience with electronics should include the use of Altium (PCB design) and HyperLynx (signal integrity analyses) or similar. Additional experience with radio frequency systems, DSP, embedded software and/or requirements management using DOORS would be beneficial. Further experience ...

design and verification engineer (~4+ years), to support the development of our growing portfolio of complex FPGA projects. The current portfolio ranges from advanced signal processing systems (ImageRadio), core embedded processing systems, through to safety & security critical systems. Responsibilities: The role involves working at all phases ...

Engineer Job Description: We are looking for a modeller to produce models of the seeker RF Radar. The model includes the seeker hardware, digital processing and target environment. The modelling team is responsible for developing the model, producing auto-code, generating seeker performance predictions and interfacing the seeker model … algorithms in the model Aptitude for converting an algorithm into a Simulink model (desirable) Familiarity with Radar and Control Systems (desirable) Familiarity with Digital Signal Processing (desirable) RF experience (desirable) Experience in C (not essential) Technical report writing Model delivery experience ...

control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this is a start ...

Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight ...