Security and privacy are arguably the most significant concern for enterprises and consumers using public cloud platforms. The Confidential Computing group at Microsoft Research Cambridge has been con
- new security primitives in general purpose processors and specialized accelerator hardware,
- languages and language runtimes that guarantee safety by construction,
- new services such as databases, blockchains, and machine learning platforms that utilize secure hardware and runtimes to guarantees strong security properties
- techniques and tools for secure and privacy-preserving machine learning
“We are anticipating this will be a virtual internship and the intern must be physically located in UK at the time of their application and during the duration of their internship”
- Propose, explore, and analyse new ideas in security, safety, and privacy domains through theoretical, practical, and application-level contributions.
- Please find more information about our group through our publications and projects including Azure Confidential Computing, CCF, Confidential AI, and Everest.
- Students enrolled in a PhD program or outstanding undergraduate/Master’s students with research experience.
- One or two papers at top security conferences (e.g., USENIX, CCS, S&P, NDSS) or papers focusing on security, safety, or privacy and appearing at top machine learning (e.g., NeurIPS, ICML, ICLR), systems (e.g., ASPLOS, OSDI, SOSP) or programming language (e.g., PLDI, POPL, OOPSLA) venues is strongly desired.
- Letter of support from a supervisor and, optionally, from another senior collaborator.