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. The postholder will also contribute to quantitative analyses, including survey data and secondary datasets (e.g. TIDES, UK-REACH, NHS CHECK, NHS staff survey) using statistical software such as Stata, R, MPLUS
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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into Cranfield’s Resilient PNT group, with opportunities to engage in industry-led research projects, international collaborations, and experimental campaigns using software-defined radios and multi-sensor platforms
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develop your software engineering skills to redefine manufacturing? This exciting PhD project is for you if you want to develop innovative techniques to ensure industrial robots are reliable, safe, and
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(if applying directly from industry)and can demonstrate through other projects or experiences knowledge across the disciplines of electronics, software development and RF communication. An interest in rocketry
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hands-on work, access to advanced testbeds and software-defined radio platforms, and training in adjacent disciplines such as signal processing, AI for navigation, integrity monitoring, and sensor fusion
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) - Knowledge of programming (C/C++/python/MATLAB), CAD software (SolidWorks/Autodesk) and basic electronics - Understanding of physical and chemical principles of/for transduction - Experience building
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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to protect our planet from asteroid hazards. The aim of the project is to deliver and validate of an onboard astrodynamics GNC software for autonomous proximity operations around minor celestial bodies