2 of 2 Part-Time Signal Processing Jobs in England

looking for FPGA engineers to support the development and implementation of RF physical layer functionality - specifically for narrowband IoT (NB-IoT) systems - as part of a high-priority digital signal processing programme. The role will involve contributing to the design and integration of baseband signal processing logic for satellite communications systems. Key Responsibilities: * Design, implement, and … test RF physical layer components for NB-IoT or similar communication systems using FPGA platforms * Develop digital baseband processing blocks (e.g., modulation, filtering, synchronization, coding/decoding) * Collaborate with internal and client-side teams to support integration and system-level debugging * Work part-time in a hybrid model, with some on-site presence at the client location in Cambridge … Essential Skills & Experience: * Hands-on experience implementing RF PHY layers for NB-IoT, LTE, or other 3GPP standards using FPGAs * Strong understanding of digital signal processing for RF systems, including time/frequency synchronization, modulation schemes, and forward error correction * Experience contributing to real-time communications systems in either terrestrial or space-based contexts * Ability to work part More ❯

R&D projects in road condition monitoring, automation, and machine learning. Design and run experimental trials, collect and analyse data, and build custom tools (e.g. using Python). Apply signal and image processing for infrastructure assessment and survey analysis. Write clear, evidence-based reports, guidance, and standards for clients and stakeholders. Present findings through workshops, conferences, and publications. … measurement data. Familiarity with infrastructure condition assessment techniques and asset data collection technologies. Clear technical communication skills. Strong analytical thinking and attention to detail. Desirable: ??????? Experience with condition monitoring, signal processing, or digital twins. Familiarity with infrastructure survey methods (e.g. TRACS, P-AMS MSP). Exposure to government or industry-funded R&D programmes. Understanding of digital twins More ❯