Applied Scientist, Computer Vision

Oxford Quantum Circuits (OQC)

. Integrate novel hardware and software into experimental systems supporting OQC's quantum technology .

Posted 9/25/2026full-timeReading • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in experimental physics and hands-on work with complex technical systems, utilizing Python for scientific analysis and data interpretation. Capable of designing and executing experimental procedures while ensuring thorough documentation and reproducibility.

Highest-signal resume keywords

Experimental Physics ExperiencePython for Scientific AnalysisQuantitative Data AnalysisTechnical Problem InvestigationExperimental Design and Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific MeasurementData AnalysisExperimental ProceduresSystem CalibrationPrototype DevelopmentCryogenic MeasurementsMicrowave MeasurementsAutomationBenchmarkingTechnical Documentation

Soft Skills

CuriositySelf-MotivationEnthusiasm for LearningDetail-OrientedClear Communication

Industry Keywords

Quantum TechnologySuperconducting SystemsSystem PerformanceDevice RobustnessCollaborative Programmes

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Integrate novel hardware and software into experimental systems supporting OQC's quantum technology
Turn system requirements into working prototypes that demonstrate new capabilities and reduce technical risk
Characterise, calibrate and benchmark novel hardware, focusing on readout and reset operations
Design, develop and run experimental procedures across integrated superconducting systems
Use cryogenic and microwave measurements, automation and data analysis to understand and improve system performance
Contribute to projects from experimental design and system build through analysis, reporting and recommendations
Collaborate across quantum control and hardware teams to define requirements, resolve system-level challenges and improve device robustness
Share technical knowledge and contribute to scientific publications, conferences and collaborative programmes

Requirements

What you’ll need

Experimental physics experience and strong motivation to work hands-on with complex technical systems
Practical experience with scientific measurement and quantitative data analysis
Experience using Python for scientific analysis
Ability to independently investigate technical problems, draw evidence-based conclusions and communicate clear recommendations
Experience taking technical work or projects through experimentation, analysis and documentation
Curiosity, self-motivation and enthusiasm for learning within a multidisciplinary engineering and scientific environment
Methodical and detail-oriented approach, with commitment to clear documentation and reproducible analysis

Benefits

Comp & perks

Culture of bold innovation
Chance to work with unique lab infrastructure
Opportunity to see your work redefine the limits of computation
Benefits and positive work culture (details linked in the posting)