Microsoft Cambridge Research Intern - Intelligent Networked Systems 

United Kingdom, England, Cambridge 

210602289

We strongly believe in building and fostering a diverse and inclusive work environment. We practice open communication and respectful dialogue. We support multiple social and career building opportunities in our internship program.

Required/Minimum Qualifications:

· Currently enrolled in a PhD program in Computer Science or related field.

Other Requirements:

· Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

· In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your

letter writers in advance, so they will be ready to submit your letter.

Preferred/Additional Qualifications:

· Experience building research or engineering systems in AI, security, networking or distributed systems, as demonstrated through university projects and/or prior work.

Additional Responsibilities

· Develop AI, security, systems, and/or networking solutions that extend the state of the art in cloud-scale systems.

· Implement and evaluate prototypes using small-scale testbeds and large-scale production environments.

· Collaborate closely with team members on developing systems from prototyping to production level. Work closely with Azure engineering teams to drive scalable implementationsExamples of more specific responsibilities include.

· Use AI to improve network management and operation.

· Design and implement security and trust features in an OS kernel or in a hypervisor.

· Design, implement and evaluate novel solutions for improving network protocols,traffic management and/or verification on wide-area networks.

· Optimize cellular RAN behavior using AI/ML techniques.

· Implement prototypes of centralized traffic managers that can scale to large cloud networks.

· Extend a trusted execution environment (e.g., Intel SGX, AMD SEV) to a hardware accelerator, such as an FPGA or a GPU.

· Design and implement novel approaches to video-processing (e.g., ML, adaptive bitrate algorithms) for the 5G/edge.

· Extend container-orchestration systems to adaptively schedule workloads across clouds and edges and support high-performance container networking.

· Evaluate internship artifacts to support the publication of blog posts, white papers, and research papers.