Temporary contract | 24 months | Belval - Luxembourg
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 a key member of the project, you will be responsible for a range of critical tasks that will shape the project’s success:
Adversarial attack development: you will design and implement problem-space adversarial attacks against LLM-based vulnerability detection systems.
Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of LLMs in software vulnerability detection.
Explainable detection pipeline: you will investigate and document the mechanisms through which LLMs identify software vulnerabilities, creating an interpretable detection framework that provides insights into model decision-making processes.
Human-in-the-loop system design: you will develop innovative approaches for integrating human expertise with LLM capabilities, including alignment techniques for human-to-LLM reasoning transfer and interactive training methodologies to enhance detection robustness.
Leader board development and validation: you will design and implement a dynamic evaluation platform that tracks and ranks state-of-the-art LLMs for vulnerability detection, conducting rigorous testing to ensure accurate assessment of model robustness against adversarial attacks.
Is Your profile described below? Are you our future colleague? Apply now!
Education
PhD in Computer Science with a focus on AI and/or cybersecurity
Experience and skills
1-2 years of post-PhD research and engineering experience in AI for cybersecurity
Strong background in large language models, with hands-on experience in training, fine-tuning, or evaluating state-of-the-art models
Solid knowledge in adversarial machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms.
Expertise in software security and code analysis, with understanding of common vulnerabilities and software testing practices
Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals)
Strong analytical and problem-solving abilities, with capacity to conduct independent research and deliver results in a timely manner
Effective communication and collaboration skills, with ability to work in an interdisciplinary team and contribute to project documentation
Language skills
Fluency in English (both oral and written). Other relevant languages are considered to be 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 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.