23 physics "Airbus" positions

PhD Studentship: EPSRC iCASE studentship with Airbus: Sensor-driven process control for Resin Transfer Moulding of large aerostructures

View All Vacancies Engineering Location:  UK Other Closing Date:  Tuesday 30 April 2024 Reference:  ENG1745 EPSRC iCASE studentship with Airbus: Sensor-driven process control for Resin Transfer

Senior Technical Officer: Electronic (HEO 5)

projects within the Future Industries Institute, as well as look after STEM Aviation’s Boeing and Airbus like flight simulators. About UniSA STEM UniSA STEM  links engineering, mathematics, science, defence

Research Associate/Fellow in Soft Robots (Fixed term)

applications. The opportunity for close collaboration with our industry partners, including Airbus, Rolls-Royce, and NHS, further enhances the position's value. For those pursuing an academic career

PhD Studentship: High-fidelity CFD and Data-driven Modelling of Aerodynamic Noise Sources

expected to start within 2023 (but can be flexible). The successful applicant will be able to work within a vibrant and multidisciplinary aerospace team under the College of Engineering and Physical Sciences

GECAD_Behavior_2024-01

, namely in the application of AI to automatic software testing, with publication of scientific papers. Preferred profile: Previous experience in research activities. Experience in the Airbus CyberRange

Research Associate/Fellow in Design and Modelling of Continuum Robots (Fixed term)

applications. The opportunity for close collaboration with industry partners, including Airbus, Rolls-Royce, and NDA, further enhances the position's value. For those pursuing an academic career, the possibility

POSTDOC : Bridging scales in Titanium alloys

26 Mar 2024 Job Information Organisation/Company Centre de Mise en Forme des Matériaux (CEMEF) Research Field Technology » Materials technology Computer science » Digital systems Physics Researcher

Research Assistant in ML Technologies and Modelling for Aerospace Systems

to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to

Research Assistant in ML Technologies and Modelling for Aerospace Systems

systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve

Research Assistant in AI-Based Aerospace System Design and Optimization

operational conditions and developing an AI-driven "Gauge Solver" tool for broader subsystem integration and optimization. Collaboration with Airbus for inputs on operational parameters is also a key component