5 of 5 Data Acquisition Jobs in Oxfordshire

science performed at Diamond. Our software systems facilitate operations at all levels, including the low-level control of synchrotron and beamline hardware, the planning, execution and monitor of experiments, data archiving and retrieval, data processing and visualisation, the application for beamtime, and capture of remote experiment plans and samples. Our software engineers work alongside our scientists to develop … innovative and robust solutions to keep Diamond at the forefront of scientific research. About the Data Acquisition Group The Data Acquisition (DAQ) group develops software to interface with and control the hardware which allows experiments to be performed and monitored as well as guiding the end user to tools for data reduction and analysis. The … group works closely with scientists, controls, data analysis and information management engineers to continuously develop and improve software solutions for scientific data acquisition and on-the-fly monitoring and data analysis. The current DAQ software platform is a client-server application called GDA (Generic Data Acquisition) which is written in Java and uses the More ❯

A rapidly growing specialist manufacturing business is looking to recruit a talented Data Engineer to join their newly established product development program, based in Abingdon (OX14) . This is an exceptional opportunity to be at the forefront of aerospace innovation, working with advanced materials and additive manufacturing to revolutionize jet engine performance. Data Engineer key responsibilities: Design and … maintain robust data logging frameworks to capture real-time jet engine performance metrics Build scalable data architectures for processing and analyzing complex experimental data Create versatile sandbox environments for rapid prototyping and fast iteration Own the data acquisition platforms that enable breakthrough testing capabilities Collaborate directly with testing engineers to ensure experiments are feasible from … an infrastructure standpoint Develop automated workflows for platform-agnostic post-processing and self-service data access Implement clean code practices with strict version control across code repositories Build dashboards and control systems for real-time test monitoring Enforce data security, privacy, and compliance standards Key requirements for Data Engineer: Minimum First Class Degree (MSc preferred) in Engineering More ❯

to join the ML Operations teams which supports the ML Development team in building leading-edge products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure for both Software and on-prem hardware. They use both on-prem, self-managed systems and also leverage More ❯

control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical). Testing and validation, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging More ❯

control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical). Testing and validation, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging More ❯