RSO Characterisation Engineer
About Sybilla Technologies
At Sybilla Technologies , we develop advanced Space Domain Awareness (SDA) and Space Situational Awareness (SSA) solutions that help governments, defense organizations, commercial operators and research institutions better understand, monitor and protect the space environment.
Our technologies support mission-critical operations where reliability, precision, and operational excellence are essential. We combine advanced optical observation systems, data analytics, and automation to deliver solutions that contribute to the safety, security, and sustainability of space activities.
Joining Sybilla Technologies means becoming part of a growing deep-tech company where engineering excellence, customer partnership and continuous innovation go hand in hand.
About the role We are looking for an RSO Characterisation Engineer to join our Data Analytics and R&D team and support the development of advanced methods for analysing and characterising Resident Space Objects. This is not a traditional data analysis role.
You will work with complex observational data from sources such as photometry, spectrophotometry, polarimetry and radio frequency systems. Your work will contribute to anomaly detection, pattern-of-life analysis, attitude and behaviour monitoring, and the development of a comprehensive RSO characterisation data catalogue.
You will combine scientific research with practical operational delivery. This means developing new algorithms and analytical tools, validating data quality, supporting observing campaigns and translating research findings into capabilities that can be used in operational services for civilian and defence customers.
The role requires strong analytical thinking, scientific curiosity, technical execution and the ability to take ownership of complex analytical tasks.
What you'll do
- 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 activities.
- 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 by preparing 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 the development of hardware and software solutions for civilian and defence customers, with a particular focus on 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 the preparation of internal training materials.
- Work closely with engineers, data scientists, r