Internships

Research Opportunities in Computational/Data Science 

Grad Students

LANL Graduate Research Assistant (GRA) Program

GRA is a year-round internship program that provides domestic and international students with relevant research experience while they are pursuing a graduate degree.

NCAR Summer Internships in Parallel Computational Sciences (SIParCS) Program

Gain significant hands-on experience in high performance computing and related fields that use HPC for scientific discovery. Domestic and international students interested in pursuing careers such as: application optimization, data science, numerical methods, software engineering, supercomputign systems operations, visualization and computer scurity & formal verification are invited to apply.

NSF IRES: Algorithms & Software for SUpercomputers with emerging aRchitEctures (ASSURE) 

Students selected for this paid summer internship spend 8-9 weeks in China investigating the capabilities of classical and emerging HPC hardware architectures and how these can be leveraged for research in a variety of science and engineering disciplines. Research areas include: Earth & Weather Systems, Advanced Manufacturing, Big Data and Machine Learning.

2020 Computational Physics Summer Workshop

This paid 10- week workshop (June 9- August 14) seeks to bring to the Laboratory a diverse group of exceptional undergraduate and graduate students for informative, enriching lectures and to work with its staff for 10 weeks on interesting, relevant projects that may culminate in articles or conference presentations. Applications are due by January 20, 2020.

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Undergrads

Advanced Computational Research Experience for Students

Students participating in this paid Summer internship in computational and data sciences spend 10 weeks on Michigan State University's campus and are exposed to the development and enhancement of algorithms, models, and software for applications in research areas that require high-performance computing resources. Research areas include: Computational biology, computational physics, computational chemistry, computational mathematics, engineering, big data & earth sciences, Image analysis and bioinformatics.

LANL Undergraduate Student Internship (UGS) Program

UGS is a year-round internship program that provides domestic and international students with relevant research experience while they are pursuing an undergraduate degree.

MI-OSiRIS Technical Internship (Open Storage Research Infrastructure)

Students participating in this paid Summer internship spend 10 weeks on Michigan State University's campus and are exposed to the development and optimization of bioinformatics workflows on the OSiRIS deployment and/or performance testing and tuning of computable distributed storage. This will be an educational experience but some experience with Linux, ssh, git, and programming would be helpful to get started. Program Dates: May 18 - July 24, 2020. To apply, contact training@msu.edu.

NCAR Summer Internships in Parallel Computational Sciences (SIParCS) Program

Gain significant hands-on experience in high performance computing and related fields that use HPC for scientific discovery. Domestic and international students interested in pursuing careers such as: application optimization, data science, numerical methods, software engineering, supercomputign systems operations, visualization and computer scurity & formal verification are invited to apply.

XSEDE EMPOWER Internship in Computational and Data analytics

Domestic and international students at US undergraduate institutions interested in contributing to the work of XSEDE and mentors who have projects that contribute to the work of XSEDE are eligible to participate. Now accepting applications.

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ICER Student Info Tech Assistant

Student Technical Assistants support iCER's Research Consultants in developing new HPC system functionality, installing software applications; maintaining hardware equipment; assisting researchers taking introductory programming and command line courses; preparing/distributing instructional material; preparing classrooms for workshops and teleconferences; Students are expected to assist with technical problems as assigned. Proficiency in a programming language and the ability to troubleshoot issues is required. Students should be excited about developing new technology and able to work with minimal supervision. Experience with linux is preferred but not necessary. Application for Summer 2020 coming in Spring