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Field
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for intelligent systems and communications (SPCOM) group is involved in a range of research projects at the leading edge of advanced signal processing algorithms, information-theoretic studies, and real-world
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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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chemical reactions and assembling functional nanomaterials from bottom-up in scanning tunnelling microscopy (STM). The project is tightly linked to machine learning algorithms in images (image classifier
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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systems on software defined radio (SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide
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, with experience in algorithm development. Confident coding skills and familiarity with modern coding workflows and best practices. Excellent verbal communication skills and the ability to engage
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systems. Software developed for science can change in unpredictable ways, with algorithms invented and reinvented, and SSCC is flexible and able to adapt to changing needs. SSCC’s software and computing
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. Develop reusable data pipelines and apply algorithms to derive required variables. Produce reports, dashboards and data visualisations to support local quality improvement. Ensure projects comply with