PSC’s Internship Program supports workforce development in the state of Pennsylvania. Through this program, undergraduate students become immersed in research and development projects in areas such as data analytics, computational science and bioinformatics, while working with some of the world’s leading experts in their fields. Funding comes from major research programs, including Bridges and the Data Exacell.
New opportunities are also available through the XSEDE Empower program. For more information, go to http://computationalscience.org/xsede-empower.
How to Apply
If you are a CMU student and wish to apply for a position posted here, go to www.cmu.edu/career/on-campus_employment/index.html. All other students should go to www.cmu.edu/jobs/index.html
We have no internship positions available at this time, but please continue to check back here regularly so as not to miss any internship opportunities.
Examples of past summer intern positions include:
Computational Materials Science
For the projects in this area, the students learned to use ab initio electronic structure code and/or classical molecular dynamics simulation code and learned to run the code on XSEDE computing systems to calculate and investigate the physical and chemical properties of solid state materials.
High Performance Computing Software Testing
The summer projects in this area were focused on developing the test cases, derived from real scientific application situations, and the source code drivers for testing the performance of scientific application libraries on the latest high performance computing architectures. The students had the opportunity to learn basic parallel programming skills using state of the art parallel library tools and learned to use XSEDE supercomputing resources. The results, in particular the performance data, from these projects were very useful for computational science communities.
In this position, the students assisted in the production operation of PSC's services, such as creating applications for regression testing, collecting and analyzing log data, monitoring, alerting, and reporting, and utilities for automating manual processes. The student reported to a supervisor who gave overall direction, arranged for him/her to meet with experts in the field and set the priorities for the tasks. The student maintained a task list together with the supervisors and kept a daily record of activities.
At the end of the interns’ tenure, they present their accomplishments during their time at PSC. Some project titles recently presented to PSC staff were:
- Optimizing High Performance Big Data Cancer Workflows
- Modulation of Calcium Channels with the Mouse Neuromuscular Junction Model
- Practical Pharmacology: A Computational Approach
- Volume Browser and WFS
- Deep Learning and Biomedical Image Annotation
- Axon Injury Animation
- Relativistic Green’s Function Method