Applications are invited for a Research Associate (postdoc) position.
You will work on the project “Practical Data-intensive Secure Computation: a Data Structural Approach”. This is a project funded by the EPSRC. The aim of the project is to investigate how data structures can be used as an efficiency and scalability booster in the context of secure computation. The project has a particular emphasis on putting theory into practice. The project will investigate both data structures and cryptography. So far, in less than two years, we have obtained some very nice results that are published or accepted in top venues including ACM CCS, FC, IEEE Transactions on Information Forensics and Security, and IEEE Transactions on Dependable and Secure Computing.
You will design novel cryptographic data structures and associated protocols for efficient secure computation, as well as apply them in domains such as cloud computing and data mining in order to solve real-world security/privacy problems. Other responsibilities include: writing papers, presenting work at international conferences, and contributing to an open source software package. There will be opportunities to collaborate with industrial research labs and other leading universities.
The candidate must have:
* a PhD (or equivalent) in a relevant area;
* a strong background in cryptography/security;
* good programming skills (C++/Java, parallel/GPU computing experience is a plus).
* good communication and time management skills.
Experience/knowledge in one or more of the following areas would be desirable but not essential: computer networks, operating systems, databases, statistics and data mining.
The post is available from January 2018, fixed term for 2 years and is full time. The post is based in the Security & Resilient Systems (SRS) Group within the School of Computing Science. The School is one of the Academic Centres of Excellence in Cyber Security Research (ACE-CSR) in the UK. In the latest 2014 Research Excellence Framework (REF) assessment, the School ranked 9th overall and 1st for Research Impact among computer science departments in the UK.
For informal enquiries, please contact Dr Changyu Dong (email@example.com)
More Information: http://bit.ly/2tG6XJr
Closing Date for Applications: 2017-08-16