Graph Models Research Intern (Start ASAP)

Job Description

Our researchers and engineers 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. Microsoft Research seeks an outstanding intern in the area of developing new deep learning graph models.

Responsibilities

• Interns put inquiry and theory into practice, alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life.
• Interns not only advance their own careers but also contribute to exciting research and development strides.
• During the 12-week internship, students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community.
• Research internships are available in all areas of research and are offered year-round, though they typically begin in the summer.

Required Qualifications

• Must be currently enrolled in a Ph.D. Program in Computer Science or a related STEM field.
• Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship.
• You’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. 

Preferred Qualifications

• Demonstrated ability to develop original research agendas.
• Knowledge of deep learning.
• Strong coding skills in Python and deep learning platforms.
• Must be able to collaborate effectively with other researchers and product development teams.
• Excellent interpersonal skills, cross-group, and cross-culture collaboration.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.