Multispectral photometry data processing engineer intern Aldoria
Surveillance de l'espace et caractérisation des objets orbitaux.
Traineeship
Ottignies-Louvain-la-Neuve
A few days home
Salary: Not specified
5 years of study
Skills we're looking for
Quality assurance
Analytical thinking
Java
Git
Docker
+2
You'll be part of
45 employees
Specialised Engineering
Software
Big Data
Average age: 32
Founded in 2017
80%
20%
Aldoria est une startup du New Space. Nous avons développé une technologie unique au monde avec l’ambition de devenir le leader européen de la surveillance de l’espace.
Notre domaine d’activité est essentiellement centré sur la connaissance et la caractérisation des objets orbitaux grâce à un catalogue d’objets continuellement enrichi pour des clients commerciaux, gouvernementaux et militaires.
Il nous a fallu de l’audace et un brin de folie.
Notre innovation est alimentée par la passion !
You'll be working on
As a multispectral photometry data processing engineer intern, you will contribute to the development of tools that simulate synthetic multi spectral light curves and help analyse resident space object characteristics (among which the physical shape and dimensions, mission/payload/propulsion/platform identification, materials, attitude and attitude rate).
While some modules already exist for optical observations in the visible band, existing software must be updated to consider multi spectral observations and new modules must be created to characterize objects.
- Software Development: design, code, and test scientific software applications using Python and JAVA.
- Scientific Modelling: translate scientific research and mathematical models into working algorithms.
- Data Handling: manage data pipelines and implement tools for data visualization.
- Documentation: document the code and the tool that has been developed.
- Performance Optimization: optimize software efficiency for high volumes of data. +
- Quality Assurance: develop testing protocols (unit tests, benchmarking) to ensure accuracy.
We're looking for
· Currently enrolled in a master’s degree in engineering, physics, aerospace, applied mathematics or a related field.
· Solid knowledge of numerical methods and physical sciences.
· Experience with software development tools (e.g., Visual Studio Code, Git, Docker containers).
. Strong interest in the space sector, optical systems, orbital mechanics, or space surveillance.
. Organised, proactive, and comfortable working in a fast‑moving environment.
. Analytical mindset and willingness to learn technical concepts.
. Team‑oriented, with the ability to work across functions and cultures.
. Proficiency in English is an asset.
Key figures
In short
Founding year
2017
Employees
45
Average age
32
Gender
20%
80%
