Research Opportunities in Computational/Data Science 

Grad Students

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

Spend 8 weeks in China this Summer 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.


Bioinformatics/Computational Biology MS Intern

Seeking highly motivated Masters student interested in an internship or long-term project (6mo–1yr) in developing computational approaches to accelerate drug-/vaccine-target discovery against infectious diseases. You will be a perfect fit if you have a background in bioinformatics, computational biology, statistics/biostatistics, computer science, genetics, or related fields. Programming experience in R, Python, Perl, and/or C/C++ is a huge plus. In addition to these technical qualifications, we are looking for someone who can work well in a team, work hard, and give/take constructive feedback. Apply on handshake



MI-OSiRIS Technical Internship (Open Storage Research Infrastructure)

Potential students interested in the development and optimization of bioinformatics workflows on the OSiRIS deployment and/or performance testing and tuning of computable distributed storage, should apply. This will be an educational experience but some experience with Linux, ssh, git, and programming would be helpful to get started.


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.


Advanced Computational Research Experience for Students

Advanced Computational Research Experience for Students (ACRES) is a  paid 10-week paid summer Research Experience for Undergraduates (REU) in computational and data science. Students participating in the program 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.