Temporary contract | up to 24 months | 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.

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

How will you contribute?

 In the framework of the Safe-Hire project, you will be mainly in charge of:

• Designing and prototyping AI solutions and LLM-based tools aimed at automating and optimizing services, with a focus on enhancing transparency, fairness, and robustness.
• Investigating and implementing privacy-preserving techniques within the AI-powered solutions, ensuring the responsible use of data in compliance with global regulations such as GDPR and the AI Act.
• Participating in research on bias detection and mitigation strategies within LLMs and AI algorithms, developing frameworks that promote trustworthiness.
• Contributing to the creation of guidelines and best practices for the responsible and trustworthy deployment of LLMs in specific fields, with a focus on explainability, human oversight, and ethical usage.
• Exploring and integrating security measures that protect sensitive data, including data anonymization, encryption, and secure data sharing practices, while maintaining model performance.
• Assessing, documenting, and disseminating the effectiveness of developed technologies through rigorous testing, publications, and technical reports, ensuring they meet the required standards.
• Performing technological/engineering/RDI duties with autonomy under general supervision.

You will be instrumental in promoting the research activities carried out through publications, prototype development, and technical reports, ensuring the project's impact is widely recognized.

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

Education

• Master’s degree (or equivalent) in Computer Science, Data Science, Artificial Intelligence, or related disciplines.

Experience and skills

• Proficiency in programming skills, particularly in Python, with experience in frameworks such as TensorFlow or PyTorch, and familiarity with LLM-specific libraries such as Hugging Face Transformers, LangChain, or similar.
• Proven track record in the development and application of Large Language Models, including fine-tuning, transfer learning, and continuous training techniques.
• Proven skills in practical applications and deployment of AI/ML solutions and some knowledge in cybersecurity to address the challenges in developing ethical and secure solutions that are compliant with the relevant regulations.
• Understanding of data protection principles, including GDPR, data anonymization, and secure data management practices, especially in the context of LLM deployment.

Are considered a plus:

• Familiarity with cybersecurity practices, focusing on secure data handling, privacy-preserving AI, and the protection of sensitive information in AI-driven systems.
• Experience with DevSecOps practices.
• Some knowledge of regulatory compliance for AI systems, including knowledge of the AI Act, ethical AI guidelines, and industry best practices.
• Knowledge of trustworthy AI principles, including fairness, explainability, and robustness, especially in the context of LLMs, is highly desirable.
• Domain knowledge / in-depth understanding of HR processes will be considered an asset.

Language skills

• Fluency in English is required. Knowledge of French is an advantage.

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 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, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

• A motivation letter oriented towards the position and detailing your experience
• A scientific CV with contact details
• List of publications (and patents, if applicable)
• Contact details of 2 references

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.