It’s here! The 2020 NSF Campus Cyberinfrastructure (CC*) is up.
Full Proposal Deadline: January 21, 2020
EPSCoR Research Infrastructure Improvement Program: Track-2 Focused EPSCoR Collaborations (RII Track-2 FEC)
For more information see the NSF website: https://www.nsf.gov/pubs/2020/nsf20504/nsf20504.htm?WT.mc_id=USNSF_25&WT.mc_ev=click
The following EPSCoR jurisdictions are RII-eligible for the FY 2020 RII Track-2 FEC competition: Arkansas, Iowa, Kansas, Nebraska, North Dakota, Oklahoma, and South Dakota.
- There is a limit of a single proposal from each submitting organization.
- Each proposal must have at least one collaborator from an academic institution or organization in a different RII-eligible EPSCoR jurisdiction as a co-Principal Investigator (co-PI) and must promote collaborations among researchers in EPSCoR jurisdictions.
Letter of Intent Due Date: December 20, 2019
Full Proposal Deadline: January 24, 2020
South Dakota State University is located in Brookings, SD.
The Division of Technology & Security (DTS) at South Dakota State University (SDSU) is announcing an opening for a 12-month, full-time, benefit-eligible Research High-Performance Computing (HPC) Specialist. This position will support computational applications and develop program algorithms that provide solutions to solve scientific problems associated with SDSU research projects. Must be authorized to work in the U.S. Sponsorship is not available for this position.
SDSU is especially interested in candidates that can contribute to and/or coordinate course offerings that address the experiences of underrepresented minorities in organizations. Women, minorities, veterans, and people with disabilities are especially encouraged to apply.
The successful candidate will engage the university research community with efforts that include the design, planning, coordination, implementation, and training of HPC application, programming, and other associated HPC solutions to support the computational needs within SDSU grant research.
• Ph.D. completed by the date of hire;
• One year of HPC application experience within-cluster and single server environment(s), supporting CPU and data-intensive research;
• Experience engaging researchers (and graduate staff) to understand their research and propose the appropriate computational methodology to solve their scientific problems;
• Experience leading training workshops/similar and developing HPC instructional materials or actively contributing as Service Personnel, PI, or a Co-PI on research grant proposals;
• Demonstrated ability to work as a contributing team member;
• Excellent oral and written communication skills;
• Strong interpersonal skills;
• Demonstrated use of technology in managing and/or delivering research applications and associated computer programs;
• Valid driver’s license, or ability to obtain one within 30 days of hire.
• At least three years of computational experience developing HPC application solutions;
• Ph.D. in a Computer or Data Science field;
• At least three years of computational experience in higher education working within a research computing department.
• Involvement in the development of instructional training materials for HPC and has actively contributed as Service Personnel, PI, or a Co-PI on research grant proposals.