Cambridge Internship Opportunities- Azure Research

Microsoft, Newtown, Cambridge

Cambridge Internship Opportunities- Azure Research

Salary not available. View on company website.

Microsoft, Newtown, Cambridge

  • Full time
  • U
  • Onsite working
  • Graduate programme

Posted 2 weeks ago, 7 Nov | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 46a0b28d33104b00b8784d2f634428f8

Full Job Description

Propose, explore, and analyse new ideas in security, safety, and privacy domains through theoretical, practical, and application-level contributions.

  • 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 venues onmachine learning (e.g., NeurIPS, ICML, ICLR), systems (e.g., SOSP, OSDI, NSDI, ATC, EuroSys), computer architecture (e.g., ISCA, ASPLOS, MICRO), or programming languages (e.g., PLDI, POPL, OOPSLA) is strongly desired.
  • Letter of support from a supervisor and, optionally, from another senior collaborator.

    Security and privacy are among the most significant concerns for enterprises and consumers using public cloud platforms. Azure Research (https://www.microsoft.com/en-us/research/group/azure-research/) is conducting pioneering research in the design and analysis of systems that guarantee strong security and privacy properties to cloud users, and in novel applications that are enabled by emerging security and privacy technology.
  • As part of our research, we are working on
  • 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, distributed systems, and machine learning platforms that utilize secure hardware and runtimes to guarantees strong security properties ,
  • mitigation techniques to guarantee safety and reliability ofgenerative AI pipelines,
  • leakage analysis and principled defenses against microarchitectural side-channel attacks.