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Student Resources

We are collecting more resources specifically for data science students at UD including research and internship opportunities, student funding opportunities, training opportunities, and a campus wide listing of data science related degree programs and courses.

Funding Opportunities

Funded PhD and MS positions in Geospatial Data Science at University of Delaware
The Geospatial Data Science Cluster at the University of Delaware’s Department of Geography (https://www.ceoe.udel.edu/schools-departments/department-of-geography) invites applications for PhD and MS positions. The department offers PhD and MS degrees in Geography, a PhD degree in Climatology, and a Graduate Certificate in Geographic Information Science. Students can also pursue the university’s MS degree in Data Science through the Geospatial Data Science Cluster. Competitive funding packages will be offered. Applications are accepted by January 5, 2019 for Fall 2019 enrollment. Read More.

Funded position in MS in Data Science at the University of Delaware
The EArth observation for Sustainable Ecosystem and Livelihood group (http://www.ceoe.udel.edu/our-people/profiles/mondalp) at the University of Delaware is seeking a MS student interested in environmental remote sensing to join the MSDS program in Fall 2019. Funding is available through an NSF EPSCoR grant awarded to an interdisciplinary team of researchers examining water in the changing coastal environment in Delaware (http://projectwicced.org/). Read More.

Internships/Fellowships 

NIH GDSSP summer internship program

The NIH GDSSP is a summer research immersion experience that seeks to prepare a diverse cadre of data science students to use their skills within the biomedical research enterprise by introducing them exciting opportunities within the field. This program is designed for recently matriculated masters students enrolled in a data science or computer science degree program, especially those interested in integrating translational approaches into research design. The application for summer 2020 is now open. See the details at: https://www.training.nih.gov/data_science_summer

Computational Science and Technology Advanced Research Studies (C-STARS) at Oak Ridge National Laboratory

Graduate research opportunities are available at Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tennessee through the Computational Science and Technology Advanced Research Studies (C-STARS) program. C-STARS participants conduct challenging computational research in areas that support ORNL missions, with current openings in software engineering, geographic information systems, and life and medical sciences database research. This opportunity is open to all current graduate students with a GPA of 3.5/4.0 or higher and those who have received a Master’s degree within the last five years; there is no citizenship requirement.

C-STARS appointment dates and duration are decided upon between the research mentor and participant, although appointments are typically 12 months in duration. Appointments may be part-time or full-time participation. Apply now and more potential mentors will see your application– you’ll note your desired appointment dates within your application.

For more information and instructions to submit your application, visit https://orise.orau.gov/ornl/c-stars/default.html. If you have any questions, please send an email to ASTRO@orau.org.

Internships and other opportunities from Zintellect administered by the Oak Ridge Institute for Science and Education (ORISE)

Zintellect provides listings of internships, experiential learning opportunities, academic fellowships and scholarships funded by government and private sector organizations. These programs are administered by Oak Ridge Associated Universities (ORAU) and the Oak Ridge Institute for Science and Education (ORISE). Visitors to the site may view available opportunities by selecting the Opportunity Catalog.

Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.