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Luxembourg Institute of Science and Technology (LIST)

Luxembourg Institute of Science and Technology (LIST)

INT-27025 AI-ENABLED HYBRID DIGITAL TWINS FOR COMPLEX ENGINEERING SYSTEMS

Esch-Sur-Alzette, LUVor OrtVertragVollzeit

Veröffentlicht am 13. Okt. 2026

Diese Stelle wird in EN ausgeschrieben

Compulsory 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 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.

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

How will you contribute?


As an intern in the AI Readiness and Assessment research line, you will contribute to transforming existing data handling and statistical analysis tools into a user-friendly web-based application.

Your main responsibilities will include:

  • Integrating Python-based data processing, statistical analysis and visualization workflows into a web application. 

  • Developing the front-end and back-end components required to provide an intuitive and robust user experience. 

  • Testing and validating the application across different datasets and analysis scenarios. 

  • Documenting your work and contributing to demonstrations, presentations and other dissemination activities.

Is your profile described below? Are you our future trainee? Apply now!


Education

  • You are in the final year of a Master's degree in computer science, AI, data science, software engineering, or a related field.

Language skills

  • Fluency in English, 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

  • Multicultural and international work environment with more than 50 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


Apply online

Your application must include:

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

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, colour, 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.

Rollenübersicht

Jobart

Vollzeit

E-Mail

jobs@alleyesonme.jobs

Erforderliche Kompetenzen

Python-based data processingStatistical analysisData visualizationIntegration of data workflows into web applicationsFront-end development (web)Back-end development (web)Software testing and validation across datasets and analysis scenariosTechnical documentation and scientific communicationUser experience (UX) design for intuitive interfacesData handling and dataset managementFluency in English (oral and written)Research-oriented skills (experimental design, analysis and dissemination)

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INT-27025 AI-ENABLED HYBRID DIGITAL TWINS FOR COMPLEX ENGINEERING SYSTEMS bei Luxembourg Institute of Science and Technology (LIST) in Esch-Sur-Alzette | Scovai | Scovai