SD-25085 RESEARCHER IN ROBUST AI FOR ANDROID MOBILE SECURITY

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/

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

Temporary contract | 24 months | Belval

Are you passionate about research? So are we! Come and join us

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:

• Localization of malicious payloads: you will develop a multi-layer localization framework that can automatically localize malicious behaviors implemented in Smali code.
• Adversarial attack development: you will design and implement adversarial attacks by manipulating localized malicious payloads against malware detection models.
• Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of malware detection models.
• Countermeasures: you will develop targeted countermeasures to mitigate detection failures and adversarial attacks.
• Pipeline development: you will implement a unified pipeline for interactive improvements of malware detection models based on real-world feedback and evolving threats.

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 mobile security
• Solid knowledge in adversarial machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms.
• Hands-on experience with Android malware detection and reverse engineering
• Experience with explainable AI (XAI) techniques (LIME, SHAP, attention mechanisms, etc.)
• 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.