IT Specialist IV, Senior Computational Scientist, OIT The University of Tennessee, Knoxville Office of Information Technology, Research Cyberinfrastructure
The Office of Information Technology at The University of Tennessee Knoxville seeks qualified applicants for a Senior Computational Scientist which will provide a lead role in scientific computing support for users of the research cyberinfrastructure used to support the research mission of the University. OIT operates computing resources and provides support to University researchers and their collaborators giving them the capability to investigate and solve cutting-edge and computationally challenging problems. Under the guidance the Director, High Performance and Scientific Computing, this individual will have mastery and in-depth knowledge of all aspects of scientific computing and will be part of a team that supports and manages centralized high performance computing resources, a secure research computing environment, and works with faculty and researchers to make effective use of the resources for research.
Major Duties/Responsibilities The successful candidate will work closely with users to assist them in using the computational resources effectively and efficiently. The position will work with users and collaborators to develop, port, and optimize scientific applications to work with the research cyberinfrastructure provided by OIT. The position will lead representation of the needs of the user community internally to the Director and to OIT management for planning and decision-making. Responsibilities of this position includes, but is not limited to: lead and guide staff on consulting with researchers on simulation, workflow and application design and development; support algorithm and application optimization; lead future technology hardware and application benchmarking; lead parallel computing support; support clients in selecting computer software and hardware to solve their research problems; lead installation of scientific computing compilers, libraries, and tools; lead development of web-based documentation and training content; lead development and teaching workshops on best practices of using the research cyberinfrastructure including use of the resource management system to submit and monitor jobs, application optimization, and effective use of cpu, GPU, memory, and storage resources; provide technical support and user application and scientific computing support as needed; work with other OIT groups, such as, Networking Services, Help Desk, and Systems to support the continual, efficient, and effective use of the research cyberinfrastructure; mentor students and colleagues; work independently and prioritize assignments with minimal supervision, as a member of a team, and as a team leader.
Internal Number: 199607
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