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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing navigation algorithms and signal processing methods, with a strong foundation in Python for scientific computing. Capable of translating complex quantum sensor performance into practical navigation solutions while effectively communicating technical results to diverse audiences.
Highest-signal resume keywords
PhD In Physics, Engineering, Or Related DisciplineNavigation Theory And Numerical Navigation ModellingModern Signal Processing MethodsRobotics Experience Relevant To NavigationFamiliarity With Python For Scientific Computing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Navigation Algorithms DevelopmentSignal Processing MethodsMachine Learning ApproachesQuantum Sensor RequirementsField-Trial Data AnalysisModeling CapabilitiesTesting And ValidationInterdisciplinary CollaborationTechnical CommunicationVersion Control (Git)
Soft Skills
Effective CommunicationCollaborationPresentation Skills
Industry Keywords
Quantum PhysicsSensor FusionGPS-Denied EnvironmentsSLAMParticle FilteringBayesian MethodsDeep State-Space ModelsHybrid Model-Based/Learned Filters
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop new navigation algorithms, sensor fusion strategies, and modeling capabilities for navigation scenarios
- Plan, participate in, and analyze field-trial data from maritime and airborne platforms
- Test, validate, and refine navigation technology in real-world conditions
- Translate quantum sensor performance into capabilities for navigation end-users and customers
- Identify quantum sensor requirements and concepts of operation for navigation applications
- Develop, document, and review high-quality Python software
- Share insights and results through presentations, academic publications, technical reports, and blog posts
- Liaise with academic and industry partners to support research, business, and product development
- Improve navigation performance in GPS-denied or contested environments
- Develop algorithms and signal processing methods to suppress magnetic and vibrational noise from host platforms
Requirements
What you’ll need- PhD (or equivalent industry experience) in physics, engineering, or a closely related discipline
- Experience in navigation theory and numerical navigation modelling
- Experience working in an interdisciplinary context with R&D scientists and engineers
- Experience communicating technical results to a wide and varied audience
- Experience in modern signal processing methods, including Bayesian methods, particle filtering, and sequential Monte Carlo methods
- Robotics experience relevant to navigation, such as SLAM, factor-graph estimation, or sensor integration and field trials on autonomous platforms
- Experience with machine learning approaches to state estimation, such as deep state-space models, hybrid model-based/learned filters, or sequence models
- Familiarity with Python for scientific computing
- Familiarity with quantum and/or atomic physics at undergraduate level
- Experience with version control such as Git
Benefits
Comp & perks- Flexibility
- Equity potential
- Competitive benefits
- Outcomes-over-hours work culture