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Internships Opportunities


Undergraduate and graduate students can find internship and fellowship opportunities worldwide right at their fingertips. While there will be a flurry of announcements each year for summer internships and fellowships, please be sure to check what is offered all throughout the year.




The Blue Waters Student Internship Program (BWSIP)

    Location: Any U.S. Degree-Granting Institution
    Hiring Institution: Any U.S. Degree-Granting Institution
    Apply By: February 01, 2017
    Posted date: October 18, 2016

    The Blue Waters Student Internship Program (BWSIP) is actively seeking students and faculty to participate in year-long student internship opportunities. Students in the program will gain experiences involving the application of high-performance computing to problems in science, mathematics or engineering. The program provides a student stipend for undergraduate participants totaling $5000, a two-week intensive Petascale Institute in 2017, access to the Blue Waters supercomputer, and, for a select number of interns who have excelled during the year, travel to the Blue Waters Symposium 2018. Participation is strongly encouraged for students and faculty who are women, minorities, and/or persons with disabilities. Note: BWSIP is focused on promoting students of exceptional promise who may not have prior experience with parallel applications to become expert so that they can work extensively with those applications. This program provides support for internship activities at any accredited degree granting institution in the United States. Faculty who would like to mentor an undergraduate student can post descriptions of available positions. Positions can be intended for a particular applicant or opened to all qualified applicants. Students must submit an application for consideration. Students can start their application and faculty can create internship positions at the link below. Intern and faculty applications are due February 1, 2017. http://computationalscience.org/bwsip Note: Graduate students are welcome to apply to attend the Petascale Institute; however they are responsible for arranging their own research advisor; any stipend would be the responsibility of the research advisor. In collaboration with Blue Waters, Shodor and the National Computational Science Institute will provide support and content for the internship program and Petascale Institute. Shodor, a national resource for computational science education, is located in Durham, NC, and serves students and educators nationwide. For More Information: http://shodor.org/petascale/participation/internships or http://bluewaters.ncsa.illinois.edu/internships



REU in Data Intensive Scientific Computing at University of Notre Dame

    Location: University of Notre Dame
    Hiring Institution: University of Notre Dame
    Apply By: February 18, 2017
    Posted date: December 01, 2016

    Students in the DISC REU program will learn how to use high performance computing and big data technologies to enable new discoveries in computer science, physics, and biology. We work on grand challenge problems, like discovering new galaxies in digital imagery, discovering new fundamental particles, using gene sequencing to understand disease, predicting the effect of new drugs using computational modeling, and many more. To do this, we harness large scale computing clusters and big data systems composed of hundreds or thousands of machines, all working together in concert. To make advances in these areas, our goal is to train the next generation of scholars to be adept in both scientific domains and advanced computing techniques.



REU in Computational Social Science at the University of Notre Dame

    Location: Notre Dame, Indiana
    Hiring Institution: University of Notre Dame
    Apply By: February 18, 2017
    Posted date: December 01, 2016

    This Computational Social Science REU program is a ten week program where ten students will work collaboratively with expert mentors and select from a wide variety of computational social science projects at the University of Notre Dame. Computational social science as an approach to analyzing the social world is has been growing rapidly. An increasing number of social interactions are taking place in the virtual world, using social media, mobile phones, and other electronic means. The digital traces of such interactions and the greater availability and detail of CSS data sets (e.g. surveys, census data, historical records) yield and exponential growth in data available for analysis. New cyberinfrastructure tools and methodologies for data analytics are needed to capitalize on this resource and enhance American economic competitiveness. This REU training environment will develop multidisciplinary social scientists with the appropriate expertise to answer the computational social science data growth challenges and opportunities.



REU Site in Computational & Data Science

    Location: East Lansing, MI
    Hiring Institution: Michigan State University
    Apply By: February 28, 2017
    Posted date: September 22, 2016

    Michigan State University will host a 10-week NSF summer Research Experience for Undergraduates (REU) in computational and data science beginning May 21-July 28, 2017. Projects provided through iCER ACRES: Advanced Computational Research Experience for Students (ACRES) focus on the development and enhancement of algorithms, models, and software for applications in multiple research areas that require high-performance computing resources. Research areas include: computational chemistry, biology, physics, mathematics, big data science, and computational electromagnetics. Undergraduates from a wide variety of fields, including STEM fields, are invited to apply. The application process opens October 1, 2016 through February 28, 2017. Applications will be reviewed on a rolling basis. For more information visit: http://icer-acres.msu.edu. To be notified when the application process opens visit https://icer-acres.msu.edu/apply/application/ to provide your contact information. If you have any questions or would like any additional information, please email training@msu.edu.



iCER Advanced Computational Research Experience

    Location: East Lansing, MI
    Hiring Institution: Michigan State University
    Apply By: February 28, 2017
    Posted date: October 16, 2016

    Michigan State University will host a 10-week NSF summer Research Experience for Undergraduates (REU) in computational and data science beginning May 21-July 28, 2017. Projects provided through iCER ACRES: Advanced Computational Research Experience for Students (ACRES) focus on the development and enhancement of algorithms, models, and software for applications in multiple research areas that require high-performance computing resources. Research areas include: computational chemistry, computational biology, computational physics, computational mathematics, bioinformatics, big data science, and computational electromagnetics. Who should apply: Undergraduates from a wide variety of fields, including STEM fields, are invited to apply. Application: opens October 1, 2016 through February 28, 2017. Applications will be reviewed on a rolling basis.



XSEDE EMPOWER Internship

    Location: Any U.S. Degree-Granting Institution
    Hiring Institution: Any U.S. Degree-Granting Institution
    Apply By: December 02, 2017
    Posted date: December 05, 2016

    An XSEDE-wide effort is underway to expand the community by recruiting and enabling a diverse group of students who have the skills - or are interested in acquiring the skills - to participate in the actual work of XSEDE. The name of this effort is XSEDE EMPOWER ( Expert Mentoring Producing Opportunities for Work, Education, and Research ). We invite the whole XSEDE community - staff, researchers, and educators - to recruit and mentor undergraduate students to engage in a variety of XSEDE activities, such as computational and/or data analytics research and education in all fields of study, networking, system maintenance and support, and visualization. The program provides a stipend to students and resources for the training of those students who work on XSEDE projects for one semester, one quarter, one summer, or longer.



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