{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “System Performance & Modelling Engineer”, “description”: “
What will you be doing?
- Developing end-to-end simulation frameworks covering link performance, constellation coverage, and network behaviour
- Building high-fidelity models to evaluate system capacity, latency, throughput, reliability, and service continuity
- Modelling the interaction between orbital dynamics, air interface behaviour, payload performance, and network architecture
- Supporting stochastic performance analysis for latency, jitter, packet loss, and multi-hop communication scenarios
- Mapping dynamic user demand against available satellite and network resources to identify optimisation opportunities
- Supporting system-level link budget analysis including propagation effects, power allocation, and noise cascades
- Tracking and validating system performance margins including rain fade, interference, attenuation, and hardware ageing
- Performing trade studies to evaluate architectural decisions, resource allocation strategies, and processing approaches
- Supporting the development and evaluation of dynamic resource management and orchestration strategies
- Providing analytical input into operational concepts, resilience planning, and service optimisation activities
- Collaborating closely with payload, network, spectrum, and air interface teams to align modelling assumptions and performance targets
What You’ll bring
- Strong understanding of system-level modelling within satellite or advanced wireless communication systems
- Capability to develop and maintain end-to-end simulation environments for complex communication networks
- Proficiency in modelling and scripting using MATLAB, Simulink, Python, C++, or similar tools
- Knowledge of link budget analysis including modulation, coding, propagation effects, and noise/power cascades
- Understanding of network performance metrics including latency, jitter, throughput, and packet loss
- Familiarity with stochastic modelling techniques and performance analysis under varying operational conditions
- Knowledge of dynamic resource management, scheduling, and optimisation strategies
- Understanding of radiometric analysis including slant range attenuation and Power Flux Density (PFD) considerations
- Awareness of orbital dynamics and their impact on communication system performance
- Familiarity with modelling and simulation tools such as STK, Visualyse, or similar platforms
- A highly analytical and data-driven mindset with strong attention to detail and system-level thinking
Company: Open Cosmos
Location: Harwell
Job Description:
What will you be doing?
- Developing end-to-end simulation frameworks covering link performance, constellation coverage, and network behaviour
- Building high-fidelity models to evaluate system capacity, latency, throughput, reliability, and service continuity
- Modelling the interaction between orbital dynamics, air interface behaviour, payload performance, and network architecture
- Supporting stochastic performance analysis for latency, jitter, packet loss, and multi-hop communication scenarios
- Mapping dynamic user demand against available satellite and network resources to identify optimisation opportunities
- Supporting system-level link budget analysis including propagation effects, power allocation, and noise cascades
- Tracking and validating system performance margins including rain fade, interference, attenuation, and hardware ageing
- Performing trade studies to evaluate architectural decisions, resource allocation strategies, and processing approaches
- Supporting the development and evaluation of dynamic resource management and orchestration strategies
- Providing analytical input into operational concepts, resilience planning, and service optimisation activities
- Collaborating closely with payload, network, spectrum, and air interface teams to align modelling assumptions and performance targets
What You’ll bring
- Strong understanding of system-level modelling within satellite or advanced wireless communication systems
- Capability to develop and maintain end-to-end simulation environments for complex communication networks
- Proficiency in modelling and scripting using MATLAB, Simulink, Python, C++, or similar tools
- Knowledge of link budget analysis including modulation, coding, propagation effects, and noise/power cascades
- Understanding of network performance metrics including latency, jitter, throughput, and packet loss
- Familiarity with stochastic modelling techniques and performance analysis under varying operational conditions
- Knowledge of dynamic resource management, scheduling, and optimisation strategies
- Understanding of radiometric analysis including slant range attenuation and Power Flux Density (PFD) considerations
- Awareness of orbital dynamics and their impact on communication system performance
- Familiarity with modelling and simulation tools such as STK, Visualyse, or similar platforms
- A highly analytical and data-driven mindset with strong attention to detail and system-level thinking
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Posted: May 19th, 2026