Graduate Research Fellowship in Computational and Data science
The Graduate Research Fellowship in Computational and Data Science at MSU is designed to provide funding and support for graduate students engaged in research that requires advanced computational tools and data analysis techniques. The fellowship aims to foster interdisciplinary collaboration and help students develop expertise in computational modeling, machine learning, big data analytics, and other cutting-edge technologies.
Students awarded this fellowship typically work on research projects that apply computational methods to solve complex problems in fields such as biology, physics, chemistry, engineering, and environmental science. Research areas may include artificial intelligence, bioinformatics, computational chemistry, network analysis, and scientific computing, among others.
In addition to financial support, fellows benefit from access to MSU’s advanced computational resources, including high-performance computing facilities, and participate in workshops, seminars, and mentorship programs designed to enhance their research skills and professional development. The program encourages collaboration with faculty mentors and other students across disciplines, fostering a dynamic research environment.
Eligibility Requirements
- Research goals and their compatibility with the goals, computational resources and expertise of international project site and mentor selected.
- Ability of the applicant’s U.S. research advisor to provide guidance (i.e. co-mentor) during the problem formulation and implementation stages.
- Experience and computational background of the applicant (unofficial transcript, CV)
- Letters of support
- Ability to thrive and benefit from the research environment
For thorough eligibility and selection information, visit the official website or contact the organizers directly.