IACR News item: 07 June 2022
University of Technology Sydney, Sydney, New South Wales, Australia
Job Posting
The School of Electrical & Data Engineering is recruiting for two Postdoctoral Research Associates or Postdoctoral Research Fellows to join a multi-disciplinary collaborative research team comprising industry (Bosch) and UTS academics, postdocs and PhD students working on Privacy Preserving Technologies. The position will be based at the centrally located UTS Campus in Ultimo and will report directly to the Director RF Communications Technologies Lab, Associate Professor Justin Lipman
The School of Electrical & Data Engineering is deeply engaged in research of national and international standing in many areas. Key areas include: wireless communications and networking, Internet of Things (IoT), applied electro-magnetics and antennas, electrical systems and power electronics, image processing, computer vision, machine learning, cybersecurity, big data analytics and big data systems, and RF IC design. Our School hosts three IEEE Fellows and 3 ARC DECRA grant holders and we conduct research funded by government agencies and national and international industry partners.
About the role
Conduct research in:
1) Computing on encrypted data technologies in the context of privacy-preserving Federated Learning in particular secure multi-party computation and homomorphic encryption
2) Design and development of trustworthy digital cleanrooms/marketplaces using privacy-preserving computing technologies
About you
• Computer Science or Engineering PhD in cryptographic communication protocols or secure multi-party computation or federated learning.
• Thorough knowledge of the mathematical and statistical foundations of cryptographic systems.
• Proficient in one or more of the following: Rust, Go, C++, C, Python, Java.
• Demonstrated record of research in cryptographic communication protocols or secure multi-party computation.
The School of Electrical & Data Engineering is deeply engaged in research of national and international standing in many areas. Key areas include: wireless communications and networking, Internet of Things (IoT), applied electro-magnetics and antennas, electrical systems and power electronics, image processing, computer vision, machine learning, cybersecurity, big data analytics and big data systems, and RF IC design. Our School hosts three IEEE Fellows and 3 ARC DECRA grant holders and we conduct research funded by government agencies and national and international industry partners.
About the role
Conduct research in:
1) Computing on encrypted data technologies in the context of privacy-preserving Federated Learning in particular secure multi-party computation and homomorphic encryption
2) Design and development of trustworthy digital cleanrooms/marketplaces using privacy-preserving computing technologies
About you
• Computer Science or Engineering PhD in cryptographic communication protocols or secure multi-party computation or federated learning.
• Thorough knowledge of the mathematical and statistical foundations of cryptographic systems.
• Proficient in one or more of the following: Rust, Go, C++, C, Python, Java.
• Demonstrated record of research in cryptographic communication protocols or secure multi-party computation.
Closing date for applications:
Contact: A/Prof Justin Lipman
email: justin.lipman@uts.edu.au
More information: https://www.seek.com.au/job/57060632
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