Student Employment - Researcher-Facing Track CCAST Intern
The NDSU Center for Computationally Assisted Science and Technology (CCAST), Information Technology Division, is seeking students to join our Internship Program in Advanced Research Computing. Student interns in the researcher-facing track will work on projects related to the application of advanced computing (i.e., high-performance computing (HPC)/supercomputing, high-throughput computing, etc.) and assist researchers in various research fields. Graduate or advanced undergraduate students who are in good standing and possess the required qualifications and experience will be considered. We offer training and professional development opportunities for our interns.
Hours Per Week: 10-20/week during Spring/Fall semesters
Starting Wage: $12/hour or higher, commensurate with experience
Reports To: CCAST Staff
NOTE: This position could qualify as a graduate assistantship. To be hired as a graduate assistant, the following criteria must be met:
1) the student is a graduate student being paid via a stipend instead of hourly
2) the student must work the number of hours agreed upon and specified in the student's Graduate Contract form
3) the student’s academic department must approve the work as being eligible for a tuition waiver
Duties and Responsibilities:
- Educating researchers on proper and efficient use of shared HPC resources
- Building, testing, and optimizing software packages on HPC systems
- Assisting researchers in troubleshooting or optimizing their codes
- Assisting researchers in streamlining their workflows
- Performing other tasks assigned by the CCAST staff
Minimum Qualifications:
- A full-time NDSU student
- Research experience in one or more research fields: biological sciences, computer and information science and engineering, engineering, mathematical and physical sciences, or social, behavioral and economic sciences, etc.
- Experience working with UNIX/Linux-based systems and experience using HPC facilities
- Strong communication (written and oral) and interpersonal skills; ability to write clear user instructions and develop tutorials and training materials
- Self-motivation, willingness to learn, and strong problem-solving skills
Preferred Qualifications:
- Experience with one or more programming languages (Fortran, C/C++, Python, etc.) and with parallel programming APIs (OpenMP, MPI, CUDA, etc.)
- Experience with parallelism in, e.g. Python, R, or MATLAB and in machine learning/Big Data tools
- Experience with using numerical libraries (e.g. Intel MKL) and with software compilation and installation on HPC systems
REQUIRED Application Materials:
- An online application
- A current resume (in PDF format) that includes your professional and educational experience
- A cover letter (in PDF format) describing your qualifications and interests