5 of 5 Signal Processing Jobs in East Anglia

This role requires UK security clearance and only applicants with UK nationality can be considered. Further understanding or experience with the defence industry, Radar signal-processing or general digital signal processing (DSP) would significantly enhance an application. The remuneration package is good with a very competitive ...

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 ...

software design. They are seeking a software engineer with practiced skills working with low level algorithms as may be used for radio communications, DSP, signal modelling and metrics and who has translated these into optimal and robust production software. The language of choice is Python and the codebase … relevant technical subject. You may have a Masters or PhD specialising in wireless comms, RF systems and/or DSP. Your prior expertise translating signal processing algorithms into commercial-grade production software with attention to robustness, optimisation and testing. Experience working with test hardware or test bench equipment ...

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 ...