In A Nutshell
Conduct research and lead research collaborations that yield new insights, theories, analyses, data, algorithms, and/or prototypes that advance the state of the art in computer science and engineering, as well as general scientific knowledge.
Responsibilities
- Review existing literature and identify gaps in the state-of-the-art and formulate research questions.
- Design experiments that apply cutting-edge research in machine intelligence and machine learning. Implement prototypes of scalable systems in AI applications.
- Collaborate closely with team members and potential external collaborators on developing systems from prototyping to production level.
- Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects.
Skillset
- Must be currently enrolled in a PhD program in Computer Science or a related STEM field.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.
- Must have at least 2 years of experience with modeling in Python and at least 2 years of experience with deep learning models.
- Must be fluent in English (verbal and written).