SD-26114-R&T SCIENTIST IN CONTINUAL LEARNING FOR OT ANOMALY DETECTION @ Luxembourg Institute of Science and Technology (LIST)

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SD-26114-R&T SCIENTIST IN CONTINUAL LEARNING FOR OT ANOMALY DETECTION @ Luxembourg Institute of Science and Technology (LIST) Sintesi in italiano (traduzione automatica): Il Luxembourg Institute of Science and Technology (LIST) cerca un Ricercatore in intelligenza artificiale per un contratto a tempo determinato di 12 mesi a Belval. Il candidato sarà responsabile dello sviluppo di pipeline di machine learning per la raccolta di dati da reti OT, integrazione in piattaforme industriali e assicurazione della qualità. È richiesta una laurea di dottorato in Informatica con focus su AI e/o cybersecurity, oltre a 1-2 anni di esperienza post-dottorato. Competenze richieste includono conoscenze avanzate in sicurezza informatica e programmazione in Python, C, C++. È necessaria la fluente conoscenza dell'inglese. Il LIST offre un ambiente di lavoro multiculturale e opportunità di sviluppo professionale. 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, h Annuncio in inglese. Fonte: Euraxess (Commissione europea).