International Association
for Cryptologic Research

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.

How will you contribute? Your specific mission includes, but is not limited to, participating into the following activities along with the project partners:

• To design and develop privacy-preserving federated data management technologies
• To prototype privacy-preserving technologies for cyberthreat intelligence, data analysis or cybersecurity
• To develop open-source software
• To validate the effectiveness of developed technologies You are in charge of disseminating and promoting the research activities that will be carried out, whether through publications, prototype development or technical reports

You’re highly motivated and have proven skills in federated data processing such as applying simple statistics or advanced machine learning tools, to improve the utility of the obtained information. You have already good experience in collaborative cyber threat intelligence systems that use advanced analytics solutions an can offer significant advantages over the local systems by detecting cyberattacks early and promptly responding to them. And last, but not least, you’re a great practitioner of privacy-enhancing techniques such as secure multiparty computation, homomorphic encryption, and anonymization. Is Your profile described below? Are you our future colleague? Apply now! As to join us, you:

• Hold a PhD. degree in Computer Science or related disciplines
• Have good programming skills (particularly experience on Python and C++)
• Have good track record on applied cryptography, such as secure multiparty computation and homomorphic encryption. Knowledge on secure aggregation techniques or zero-knowledge proofs is a plus.
• Demonstrate strong interest and experience in anonymization techniques such as differential privacy, Google’s RAPPOR

Closing date for applications:

Contact: Orhan Ermis

More information: https://app.skeeled.com/offer/6554879c69ccf56b0c1432df?utm_id=60fed4c509c80d16d1bbe536&utm_medium=OFFERS_PORTAL&language=en&show_description=true