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Luxembourg Institute of Science and Technology (LIST)

SD-26114-R&T SCIENTIST IN CONTINUAL LEARNING FOR OT ANOMALY DETECTION

Luxembourg Institute of Science and Technology (LIST)
Luxembourg · Full-time · Not Applicable


Fixed term contract | Belval | 12 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?


Describe the main responsibilities of the position.

 

As a key member of the project(s), you will be responsible for a range of critical tasks:

 

·        ML pipeline development: you will develop a continual ML pipeline to collect data from OT networks, eliminate outliers and create ground truth for further ML-based services.

·        Integration and prototyping: you will be responsible for integrating the ML pipeline into an industrial platform, which will be deployed in real industrial environments.

·        Quality assurance: you will conduct rigorous testing to ensure the ML pipeline is functional, reliable, and robust.

·        LLM and Adversarial Resilience: you will need to investigate the robustness and adversarial resilience aspects of LLMs and explore new mechanisms to enhance LLMs on these aspects.

 

 

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

·        Excellent knowledge in information security, particularly in machine learning for cybersecurity

·        Excellent programming skills in languages like Python, C, C++.

·        A proven ability to collaborate effectively within an interdisciplinary team

·        The capacity to conduct research autonomously

 

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 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

·        Flexible working hours, home working policy (not remote) and access to Digital 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, 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.


For the purposes of the position and in accordance with applicable legislation, the successful candidate may be requested to provide a recent criminal record certificate.


Key Skills

Ranked by relevance

ai machine learning python c
Login to Apply
Posted
Jul 07, 2026
Type
Full-time
Level
Not Applicable
Location
Esch-sur-Alzette

Industries

Research Services

Categories

Research Science

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