Description

Internship contract – 6 months | Fulltime/40h | From 01.02.2025 on | Belval

Are you passionate about research? So are we! Come and join us

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.


https://www.list.lu/

How will you contribute?

Detecting space objects from the ground — including both natural (e.g., meteoroids) and human-made objects (e.g., satellites, spacecraft) — is critical for space research, astronomy, satellite tracking, and spacecrafts collision avoidance. However, noise from human activities, atmospheric interference, sensor artefacts, and light pollution make this task challenging.
In this context, this internship consists in investigating and testing the latest AI approaches to improve the detection of space objects by filtering noise and unwanted artefacts. For example, different techniques involving and/or combining recent advances in objects detection (YOLOv11), Generative Adversarial Networks (GAN) and even Multimodal Large Language Models (MLLMs) will be tested and evaluated. The focus will be on techniques that are frugal (limited computational resources), robust and interpretable.
You will be mainly in charge of:

• Review the state of the art about the application of Generative AI for objects detection in noisy data.
• Design and implement relevant AI-driven approaches in Python libraries and/or notebooks, by considering two use-cases:

o Astronomical images captured by LIST and used to train AI models in collaborative research projects (MILAN2, https://www.list.lu/fr/recherche/projet/milan2/) .
o Radio data captured by the Belgian RAdio Meteor Stations (BRAMS), to detect and study meteors with radio forward scattering techniques; this project is led by the Belgian Institute for Space Aeronomy (https://brams.aeronomie.be/) .

• Document the source code and write a report describing the technical / scientific contribution.
• If applicable, the results may lead to an academic publication.

Is Your profile described below? Are you our future colleague? Apply now!

Education

• Master 1 or 2 in Computer Science, Machine Learning, Data Science

Experience and skills

• Good knowledge of Machine Learning / Deep Learning
• Experience with Python and Tensorflow / Pytorch libraries
• Knowledge of Generative AI and Image Processing

Language skills

• Good level both written and spoken English and French

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects;
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;
• Multicultural and international work environment with more than 45 nationalities represented in our workforce;
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;
• Gender-friendly environment with multiple actions to attract, develop and retain women in science;
• 32 days’ paid annual leave for a full time internship, 11 public holidays per annum, flexible working hours,
• An environment encouraging curiosity, innovation and entrepreneurship in all areas.
  

Apply online
https://www.list.lu/en/jobs/interns/
Your application must include a motivation letter oriented towards the position and detailing your experience


Application procedure and conditions:
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, color, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.

Languages English Education Master Experience 0+ years