9 of 9 Remote/Hybrid Physics Jobs in Reading

Desirable experience Knowledge of emerging sensing and PNT technologies, electronic warfare, radar, sonar, or related domains. Experience with EKF, UKF, Lie Group UKF, or physics-informed machine learning. Experience supporting bids, funding applications, or collaborative consortia. Exposure to contested electromagnetic environments and resilient sensing challenges. Experience mentoring engineers or acting ...

into our core product, shaping the roadmap with first-hand evidence Your Profile: Essential: Engineering background, preferably in the Computer Science, Mathematics, Software Engineering, Physics, and Data Science fields. 3+ years of professional software engineering experience, with proficiency with one or more programming languages such as Python, C++, Java, Typescript ...

contribute to shared organizational objectives.Problem-solving skills and ability to navigate evolving business environments.Preferred QualificationsAdvanced degree or equivalent professional experience in Chemistry, Biology, Physics, Engineering, or a related discipline.Understanding of data science and machine learning concepts, including exploratory data analysis, model development, and model evaluation.Familiarity with Microsoft Azure cloud services ...

Model Based Engineering (MBE) and Digital Thread principles. Experience managing complex stakeholder landscapes, suppliers, and secure engineering environments. Degree in Electrical Engineering, Aerospace Engineering, Physics, Applied Electromagnetics, or similar technical discipline. ITIL, PRINCE2, APM or equivalent experience. Desirable SAFe or Agile delivery experience. Knowledge of EM simulation methods including ...

support adoption of new digital capabilities and processes. Manage budgets, resources, risks, dependencies, and delivery performance. Skills & Experience Degree in Electrical Engineering, Aerospace Engineering, Physics, Applied Electromagnetics, or a related technical discipline. Experience delivering digital engineering capabilities within EM disciplines. Experience within the Aerospace and/or Defence industry Strong ...

support adoption of new digital capabilities and processes. Manage budgets, resources, risks, dependencies, and delivery performance. Skills & Experience Degree in Electrical Engineering, Aerospace Engineering, Physics, Applied Electromagnetics, or a related technical discipline. Experience delivering digital engineering capabilities within EM disciplines. Experience within the Aerospace and/or Defence industry Strong ...

research and development in Advanced Signal Processing (ASP) and Position, Navigation & Timing (PNT). In this role, you won't choose between classical physics and machine learning-you will fuse them. We are looking for a pioneer to bridge the gap between white-box mathematical rigor and black … adaptability to build solutions that are robust, explainable, and fast. The Mission Fuse Paradigms: Apply Physics-Informed Machine Learning (PIML) and hybrid architectures to complex sensor modelling, data fusion, and target tracking. Defend the Spectrum: Design algorithms engineered to survive and adapt in heavily jammed, spoofed, and contested electronic environments. ...

climate services to run reliably in operational production. The team plays an important role as operational forecasting moves towards a more diverse mix of physics‐based and data‐driven systems, new computing environments and more complex data flows. These developments require disciplined workflow design, reliable orchestration, clear release processes … tight deadlines Your profile Education An advanced university degree, EQF Level 7 or above, or equivalent professional experience, in computer science, software engineering, physics, mathematics, meteorology, Earth‐system science or another relevant discipline. Essential experience and knowledge Experience leading or coordinating technical work in a complex software, scientific computing ...

system prediction and atmospheric-composition capabilities. A particular focus will be on vegetation–fire interactions, carbon-cycle processes and land-surface fluxes, in ECMWF physics-based and AI-based models. You will play a key role in ECMWF’s contributions to the CoFLAME and EUFOR-G3W Horizon Europe EU projects … ECMWF’s Research Department. It advances the representation of land-surface processes and land-atmosphere interactions and supports the operational configurations of ECMWF’s physics-based and AI-based forecasting systems, the IFS and AIFS, and land components, ecLand and aiLand. The team’s work spans soil, vegetation, urban surfaces ...