12 Physics Jobs in Bristol

capacities. Leading the development of Electronic Warfare Solutions covering various domains. Exceptional commercial acumen managing multimillion-pound bids and business development. Comprehensive understanding of physics in developing advanced EM/RF components. An extensive network spanning academia, defence, suppliers, and commercial sectors. Ability to influence MoD perspectives and translate customer more »

and methodologies. Introduce innovative solutions to elevate project efficiency and efficacy. Experience and Qualifications Bachelor's degree in a relevant field (e.g., Electrical Engineering, physics, Business Management) with Charted status. At least 5 years experience in a senior role and 3 years experience in project management/contracts, preferably in more »

and grow with it whilst developing your own technical knowledge and competencies. Experience needed; Ideally qualified to degree-level or equivalent experience in a Physics or Engineering based subject, such as; Electronics, Hardware, Computer Science, Software or Systems Engineering etc. Systems engineering experience (ideally in defence-standard hardware, firmware, software more »

as you will be required to produce technical documentation to support our processes. Desired; Ideally qualified to degree-level or equivalent experience in a Physics or Engineering based subject, such as; Electronics, Hardware, Computer Science, Software or Systems Engineering etc. For full information, please get in touch more »

Sole British National eligible to work on secure client sites. Degree, Masters, or PhD from a leading university in Data Science, Mathematics, Operational Research, Physics, or Statistics. Proven experience in conducting analysis for evidence-based decision-making. Strong expertise in Python, SQL, and Excel for modelling and analysis. Experience working more »

version control and documentation. Use DevOps tools and technologies for efficient execution of engineering practices. The person: Degree, or equivalent in computer science, engineering, physics or similar Proven expertise in one or more languages, frameworks, and technologies Development on Windows, Git Knowledge of all, or some of the following is more »

photon experiments and analyse data. Liaise with our nano-fabrication engineers for device tape-out and rapid prototyping. Required qualifications and experience Ph.D in Physics, Engineering or a related field. 3+ years experience in a laboratory environment. Experience of the life-cycle of integrated photonics experiments, from concept to EM more »

version control and documentation. Use DevOps tools and technologies for efficient execution of engineering practices. The person: Degree, or equivalent in computer science, engineering, physics or similar Proven expertise in one or more languages, frameworks, and technologies Development on Windows, Git Knowledge of all, or some of the following is more »

Authoring model documentation The Person Qualifications - ideally be degree qualified (or equivalent) in a related discipline (preferably Aerospace Engineering, Mechanical Engineering, Electrical Engineering Mathematics, Physics, or similar). Demonstrable knowledge of model-based processes and experience of Matlab/Simulink An ability to manage multiple tasks, to work independently when more »

system architectures - working with experts from various in-house teams as well as key customers. Key qualifications: A degree in Electrical/Electronic Engineering, Physics, or a related technical field; At least 5 years of relevant working experience in Concept/Architecture, IC design/verification or related fields; Good more »

Closing Date Wednesday, 26th June 2024 Start Date Monday, 2nd September 2024 Desired Skills IT skills Problem solving skills Analytical skills Qualifications Mathematics and Physics or STEM A Level or equivalent, grade A-C (Essential) About the Employer LEONARDO MW LTD Leonardo is an international leader in electronic and information more »

building, motivational skills, innovation, delegation, collaboration, emotional intelligence. Key Qualifications: A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. Exceptional more »