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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. The Applied Sciences Group (ASG) is seeking a highly motivated and talented PhD student to join our team as a Research Intern. This internship offers a unique opportunity to work on cutting-edge research in the fields of Large Language Models (LLMs), Vision-Language Models (VLMs), LLM/VLM based agents, and Generative Image & Video. The successful candidate will collaborate with a team of experienced researchers and engineers to tackle real-world challenges and contribute to the advancement of AI technologies.
Job Responsibility:
Conduct research in one or more of the following areas: LLMs, VLMs, and Generative Image & Video
Design and implement experiments to test new hypotheses and validate research findings
Develop and optimise algorithms and models for various AI applications
Collaborate with team members to integrate research outcomes into practical solutions
Present research findings to the team and contribute to publications and patents
Requirements:
Enrolled in a full time bachelor's, master's, MBA, or PhD program in computer science, computer engineering, electrical engineering, or a related field during the academic term immediately before their internship
At least one additional quarter/semester of school remaining following the completion of the internship
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
Submit a minimum of two reference letters, a cover letter, and any relevant work or research samples
Nice to have:
First-author publication(s) at top-tier venues or demonstrably comparable research impact
Experience with emerging memory technologies such as CXL based memory
Clear communication, self-motivated, curiosity, and a bias for hands-on experimentation
Interpersonal skills, cross-group, and cross-culture collaboration
Familiarity with computer systems' architecture, cache and memory hierarchy