Internship contract | Belval | 6 Months

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

The Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organisation (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact.

Do you want to know more about LIST? Check our website: https://www.list.lu/

How will you contribute?

You'll be working on a production-grade Retrieval-Augmented Generation (RAG) system that processes regulatory documents and serves as a critical tool for compliance analysis. You will contribute to create a multi-layered system with real performance requirements and measurable impact

Code Development (60%):

·        Enhance the retrieval algorithm by implementing adaptive weighting based on query characteristics

·        Add comprehensive document validation pipeline with format detection, quality scoring, and automatic preprocessing

·        Implement advanced chunk optimization strategies.

·        Build evaluation frameworks to systematically measure retrieval performance

·        Optimize vector database indexing pipeline for faster document ingestion

Research & experimentation (25%):

·        Test different embedding models against the current Nomic Embed Text baseline

·        Explore cross-lingual capabilities for multilingual EU regulatory documents

·        Research and prototype graph-based retrieval for document relationships

·        Experiment with multi-agent systems and workflow orchestration platforms.

System integration (15%):

·        Enhance the Streamlit interface with advanced filtering and search capabilities

·        Integrate new LLM backends and optimize prompt engineering

·        Implement comprehensive logging and monitoring for production deployment

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

Education

·        Advanced degree (Master’s or Bachelor’s final year) in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or related quantitative field with strong ML coursework

Experience and skills

Must Have:

·        Strong Python programming (you'll be reading and modifying 1000+ lines of existing code)

·        Understanding of vector spaces, cosine similarity, and basic ML concepts

·        Experience with at least one ML framework (scikit-learn, transformers, etc.)

·        Familiarity with data structures and algorithms

·        Git proficiency for collaborative development

Highly valued:

·        Previous work with LangChain, or similar retrieval systems

·        Experience with NLP libraries (spaCy, NLTK, transformers)

·        Understanding of information retrieval concepts (BM25, TF-IDF, relevance scoring)

·        Experience with Streamlit or similar web frameworks

·        Knowledge of evaluation methodologies for ML systems

Language skills

•              Fluency in English (and French), both oral and written. Other relevant languages are an asset.

Your LIST benefits

·        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 in all that we do

·        An environment encouraging curiosity, innovation and entrepreneurship in all areas

·        Personalized learning programme to foster our staff’s soft and technical skills

·        Multicultural and international work environment with more than 60 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, 11 public holidays, 13-month salary, statutory health insurance

Apply online

Your application must include:

·        A motivation letter oriented towards the position and detailing your experience

·        A CV

Please apply ONLINE formally through the HR system. Applications by email will not be considered.

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, ethnicity, 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.