About the job
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. This Research Internship provides an opportunity to work with a multi-disciplinary team at the intersection of research, engineering and product incubation. The Research Intern will work with the primary project mentors to formulate well‑scoped deliverables for the 12‑week internship (e.g., a functional demo, proof framework, and/or technical report). As a part of the multi-disciplinary team, the Research Intern will also have opportunities to influence the next-generation device design through their empirical findings.
Responsibilities
(1) Conducting research and evaluation in the area of multi-modal sensing.
(2) Prototyping on Mobile OS and Android application development.
(3) Innovating on device security and authentication.
(4) Working with multiple device form-factors to optimize for real-world constraints (battery life, sensing fidelity, user workflows etc.).
(5) Performing preliminary user evaluation towards optimization.
Qualifications
Minimum
Currently enrolled in a PhD program in computer science, electrical engineering or a closely related field. 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
Research & Prototyping: Candidates with a background in sensing with experience in prototyping and evaluation for mobile human-centric sensing devices are especially well suited for this project. Multi-modal sensing: Demonstrated ability to work with multi-modal sensor data and ML for multi-modal sensing. Mobile & user-device: Experience with mobile OS, application development and performance optimization for resource-constrained operation. Privacy & identity: Familiarity with identity management and privacy such as privacy-preserving authentication and authorization (for applications in human-centric devices). Some familiarity with speech interface to agents and LLMs can prove useful. Proven ability to communicate and present research clearly and collaborate in a diverse team.