SD-25263 RESEARCH SCIENTIST / ENGINEER IN MULTI-AGENT TESTING AND DEVELOPMENT

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/

You will be contributing to the research and development of a new testing framework focused on multi-agent systems. This framework will complement other AI testing techniques developed at LIST as part of the LIST AI Sandbox and related projects such as the  Luxembourg AI Factory, part of the EU AI Factories initiative. The overall goal is to advance towards trustworthy AI systems even when such systems embed not just one but many different agents collaborating and competing together which may generate undersired emergent behaviours even when the agents have been individually tested.

In particular, on the one side, you’ll be working on the development of these new testing techniques and their implementation on top  of our BESSER Agentic Framework and the Luxembourgish AI sandbox. On the other hand, you’ll be working together with the other partners in the project to build together a complete mutli-agent testing framework.

A combination of software testing, AI / LLMs, and empirical analysis techniques will be used.

You will be in charge of:

• Extending the LIST AI testing and assessment capabilities with new metrics and dimensions

• Develop components that wrap these capabilities and make them accessible, in particular as modules of the Luxembourgish AI Factory and as components compatible with the BESSER Agentic Framework

• Empirically evaluate the impact, transparency and comprehension of such assessments

• Participate in collaborations with the project partners and companies interested in testing their own models and/or choosing the right combination of agents for their needs

• Participating to research papers and materials presenting and promoting the results of the projects

Education

• PhD in Computer Science or similar areas. Engineers with a master degree and expertise in the area may also be considered for the position

Experience and skills in

• Software testing and benchmarking techniques

• ML and LLMs

• MLOps

• Empirical software and data science techniques

• Conducting and publishing research on some of these topics

Language skills

• Excellent level of both written and spoken English

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.