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SD-25083 R&T SCIENTIST – CYBER-ATTACKS MODELLING TO ASSESS PHYSICAL DAMAGE
SD-25083 R&T SCIENTIST – CYBER-ATTACKS MODELLING TO ASSESS PHYSICAL DAMAGELuxembourg Institute of Science and Technology (LIST) • Esch-sur-Alzette, Esch-sur-Alzette, LU
SD-25083 R&T SCIENTIST – CYBER-ATTACKS MODELLING TO ASSESS PHYSICAL DAMAGE

SD-25083 R&T SCIENTIST – CYBER-ATTACKS MODELLING TO ASSESS PHYSICAL DAMAGE

Luxembourg Institute of Science and Technology (LIST) • Esch-sur-Alzette, Esch-sur-Alzette, LU
30+ days ago
Job description

24 months contract | 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 :

  • Platform design : you will collaborate on defining the platform’s scope and mapping out the crucial data sources that will drive the analysis.
  • Data pipeline development : you will develop an AI-driven data pipeline to extract actionable intelligence, identify recurring patterns, and detect emerging threats from diverse data sources.
  • Simulation module development : you will design and build a simulation module to model and quantify physical damage by capturing system interdependencies and simulating cascading failures.
  • Integration and prototyping : you will be responsible for integrating the various project modules into a unified platform prototype, including an intuitive visualisation module.
  • Quality assurance : you will conduct rigorous integration testing to ensure the platform is functional, reliable, and robust.

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 risk management
  • Solid knowledge in applying machine learning and natural language processing techniques for cybersecurity
  • Excellent programming skills in languages like Python, C, C++, or Java
  • 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 50 nationalities represented in our workforce
  • Diverse and inclusive work environment empowering our people to fulfill 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 detailed CV
  • Please apply ONLINE formally through the HR system. Applications by email and Linkedin message 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.

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    Scientist • Esch-sur-Alzette, Esch-sur-Alzette, LU

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