About this Opportunity
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At the heart of our research group lies a unique synergy between academia and industry. We are seeking a highly motivated and accomplished Research Associate to join our team and contribute to various projects in areas such as network security, information assurance, model-driven security, cloud computing, cryptography, satellite systems, vehicular networks, and ICT services & applications.
We are part of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg, an international research university with a distinctly multilingual and interdisciplinary character.
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Your Key Responsibilities
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* You will support the research and development work within our SEDAN group, working closely with the principal investigator (Dr. Jérôme FRANCOIS) and other postdocs.
* The successful candidate will have the opportunity to work on a CORE project funded by the Luxembourg National Research Fund (FNR), exploring and validating theoretical research related to cybersecurity-oriented telemetry frameworks.
* You will be responsible for refining AI-generated causal models through a Reinforcement Learning loop, contributing to the advancement of causal inference modelling.
* In addition, you will be involved in project management, reporting, and dissemination, collaborating with the project team to achieve common goals.
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Your Qualifications
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* A good understanding of machine learning algorithms and architectures is essential, along with knowledge in statistics and stochastic models.
* Experience in cybersecurity, programming skills, and comfort with Linux environments are also desirable.
* Autonomy, self-initiative, creativity, curiosity, flexibility, and enthusiasm to work in an interdisciplinary environment are key qualities we look for in our candidates.
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About Us
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We offer a dynamic and collaborative work environment, with opportunities for growth and professional development.
Our institution has a strong commitment to diversity and inclusion, fostering a culture of respect, open-mindedness, and continuous learning.
We believe in the importance of work-life balance and offer a range of benefits to support our employees' well-being and happiness.
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