FAQs
What is the duration of the Research Internship?
The Research Internship lasts for 12 weeks.
Where will the Research Intern be located during the internship?
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
What educational qualification is required for this internship?
Candidates must be currently enrolled in a PhD program in Computer Science, or a related STEM field.
What programming or technical skills are preferred for this position?
Preferred qualifications include experience with machine learning, natural language processing, deep learning platforms such as PyTorch or TensorFlow, large datasets, distributed computing, and biomedical data.
Will I need to submit reference letters when applying?
Yes, you will need to submit a minimum of two reference letters along with your application.
What type of projects will the Research Intern work on?
The Research Intern will collaborate on projects involving multimodal real-world data sources such as electronic health records, medical imaging, and multi-omics to explore modeling opportunities and propose novel approaches to unsolved research problems.
Is there any compensation for the internship?
Yes, the base pay range for this internship is USD $6,550 - $12,880 per month, with variations based on specific work locations.
Are there opportunities for publication during the internship?
Yes, interns are encouraged to contribute to research and may have opportunities to publish their findings in top ML or NLP venues.
What are the expectations regarding collaboration during the internship?
Research Interns are expected to collaborate with cross-functional teams, present findings, and engage with fellow interns and researchers throughout the internship.
How does Microsoft Research support innovation in healthcare?
Microsoft Research aims to advance AI technologies for precision healthcare by developing systems that incorporate real-world data to optimize healthcare delivery and accelerate discovery.