IACR News item: 24 November 2021
University of Leuven (KU LEUVEN)Job Posting
The prospective candidate will design and develop efficient MPC protocols for privacy-preserving data analytics for medical diagnostics and predictive maintenance applications. The work includes, but is not limited to, investigating machine learning algorithms that best suit MPC and that have efficient implementations over MPC. You will be working closely with tools such as SCALE-MAMBA and/or MP-SPDZ. The candidate will be part of a team in a project on Secure and Scalable Data Sharing, which will run until mid-2025.
Specific skills required:
The candidate must hold a PhD degree in Cryptography or a related subject with strong publication records in crypto/security venues. In addition to a strong background in both public and symmetric cryptography, good knowledge in MPC, machine learning algorithms, and cryptographic protocols are expected. Hands on experience with an MPC framework will be considered as a merit. The candidate should also have coding experience in C/C++ and Python, experience in practical aspects of secure computation is a must.
Closing date for applications:
Contact: Please check the application procedure at https://www.esat.kuleuven.be/cosic/vacancies/ and send all requested documents to firstname.lastname@example.org
More information: https://www.esat.kuleuven.be/cosic/vacancies/
Additional news items may be found on the IACR news page.