RSO Characterisation Engineer

Stack

Responsibilities

• ▹Analyse observational data from varied sources, including photometric, spectrophotometric, polarimetric and radio frequency data
• ▹Conduct anomaly detection, pattern-of-life fingerprinting and monitoring studies for Resident Space Objects
• ▹Support the development of a comprehensive RSO characterisation data catalogue
• ▹Research and develop innovative techniques for determining the characteristics, states and behaviours of RSOs
• ▹Develop and maintain analytical scripts and small software tools using Python, C, C++ or C#
• ▹Develop algorithms and analytical methods that improve operational characterisation
• ▹Support the development of machine-learning-enabled algorithms for space object data analysis
• ▹Take ownership of analytical tasks requiring scientific rigour, detailed investigation and research depth
• ▹Cross-check data quality, identify anomalies and investigate edge cases
• ▹Run, understand, validate and adapt existing analytical tools
• ▹Support the Data Delivery team with analyses, intermediate results and technical inputs
• ▹Support the design of observing campaigns with a focus on RSO characterisation
• ▹Assist with instrument-related analytical tasks, including geometry, pointing, observational constraints and system performance
• ▹Contribute to hardware and software solutions for civilian and defence customers, particularly SDA applications
• ▹Support analytical activities related to launches, payload separation, fragmentation events, station keeping, manoeuvres, attitude monitoring, collision avoidance and catalogue maintenance
• ▹Prepare technical notes, analytical summaries, reports, recommendations and internal documentation
• ▹Translate complex analytical findings into practical recommendations for operational teams and customers
• ▹Identify opportunities to improve analytical processes, operational workflows and service quality
• ▹Contribute to knowledge sharing across multidisciplinary teams and support internal training materials
• ▹Work closely with engineers, data scientists, researchers, operational specialists, project managers and senior technical experts
• ▹Communicate with project partners, service providers, satellite operators, agencies and other connected networks
• ▹Support the investigation and resolution of customer and operational issues, including discussions on priorities, data needs and technical limitations
• ▹Participate in on-duty operations and incident-response activities after completing the required training

Requirements

• ▹Master's degree or higher in Aerospace Engineering, Astrodynamics, Physics, Astronomy or a closely related STEM discipline, or equivalent professional experience in SST, SSA or SDA
• ▹Solid foundations in photometric analysis and the characterisation of Resident Space Objects
• ▹Experience using programming or scripting for scientific or technical data analysis
• ▹Knowledge of Python or C# is preferred, although experience with other languages may be transferable
• ▹Ability to run, understand, validate and adapt existing analytical tools and algorithms
• ▹Experience with computational techniques used for shape or attitude estimation
• ▹Strong analytical and problem-solving skills
• ▹Ability to investigate complex datasets, identify patterns and detect inconsistencies or anomalies
• ▹High attention to detail and a strong focus on the quality and correctness of analytical outputs
• ▹Ability to document technical work clearly and prepare structured analytical notes and reports
• ▹Good written and spoken English, including the ability to work with technical documentation
• ▹Ability to work independently and take ownership of technically complex analytical tasks
• ▹Ability to collaborate effectively within multidisciplinary and international teams
• ▹Ability to balance scientific research and experimentation with operational deadlines and service-delivery requirements

Nice to have

• ▹Experience processing polarimetric data related to Resident Space Objects
• ▹Experience analysing active or passive radio frequency data
• ▹Basic knowledge of artificial intelligence or machine learning applied to data analysis
• ▹Experience working in international technical teams or operational environments
• ▹Experience with telescope operations or telescope system design for RSO characterisation
• ▹Experience with optical observation systems or robotic observatories
• ▹Knowledge of Space Situational Awareness, Space Surveillance and Tracking or Space Domain Awareness services
• ▹Experience supporting mission-critical civilian, institutional or defence projects
• ▹Experience working with satellite operators, space agencies, service providers or research organisations

Soft skills

What we offer

• ▹Remote-first work model, with occasional in-person meetings at the headquarters in Bydgoszcz
• ▹Full-time employment under an employment contract or B2B agreement
• ▹Flexible working hours
• ▹Dedicated onboarding and mentorship
• ▹Opportunity to work with domain experts and international partners
• ▹Access to conferences and professional development
• ▹Company library
• ▹EU compensation: EUR 4,000-5,000 gross per month (employment contract) or EUR 32-36 net per hour (B2B)
• ▹Poland compensation: 17,000-19,000 PLN gross per month (employment contract) or 124-155 PLN net per hour (B2B)
• ▹Medical and sports package (where applicable)
• ▹Work on strategically important projects supporting the safety, security and sustainability of space operations

About the company

Sybilla Technologies (Bydgoszcz) develops Space Domain Awareness and Space Situational Awareness solutions for governments, defence organisations, commercial operators and research institutions, combining optical observation systems, data analytics and automation.