Computational Scientist - HPC
University of Chicago
Department
About the Department
Job Summary
The job develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects.
Responsibilities
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.
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.
Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
---
Certifications:
---
Preferred Qualifications
Education:
PhD.
Technical Skills or Knowledge:
Proficiency in one or more programming languages (such as C++, C, etc.).
Proficiency in a scripting language such as Python.
Linux/Unix.
Software design and development methodologies and best practices.
Installing and tuning scientific applications software.
Compiler optimization techniques.
Deep Learning frameworks.
Preferred Competencies
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.
Application Documents
Resume/CV (required)
Cover Letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.