Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
Assists with compiling, debugging, optimizing, profiling, and porting parallel codes on HPC systems. Assists with improvements of parallel scaling and load balancing of large-scale research codes. Assists with maintaining parallel community codes.
Develops, installs, and tests scientific software in support of research goals.
Works with faculty and their research groups to enable them to fully utilize the University and national computational resources for their research.
Solves user problems quickly and professionally.
Works closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
Keeps abreast of new developments in High Performance Computing and be pro-active in introducing them to the faculty.
Creates and presents tutorials, hands-on workshops and documentation to educate the research community.
Assists researchers with grant proposals with strong HPC component to describe the interplay between their research and HPC.
Participates in the product development life cycle, providing professional assistance to the design of front-end applications and database systems back-end schema. Analyzes high-level system specifications and makes sure that all application development standards are met.
Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
Performs other related work as needed.
PhD in Astronomy, Astrophysics, Computer Science, Physics, Chemistry or similar.
Technical Skills or Knowledge:
Proficiency in one or more programming languages (such as C++, C, etc.).
Proficiency in a scripting language such as Python.
Parallelizing large scientific codes with MPI and Open MP and using such codes on parallel supercomputing platforms.
Software design and development methodologies and best practices.
Installing and tuning scientific applications software.
Experience with compiler optimization techniques.
Experience with Deep Learning frameworks.
Understand and translate researchers' scientific goals into computational requirements.
Work well with faculty and researchers.
Identify and gain expertise in appropriate new technologies and/or software tools.
Function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.
Strong analytical skills and problem-solving ability.
Cover letter (preferred)
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
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Internal Number: JR09461
About University of Chicago (UC)
One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.