Postbaccalaureate Appointee: Scientific Data Visualization
Argonne National Laboratory
Lemont, United States of America
5 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 92KJob location
Lemont, United States of America
Tech stack
Artificial Intelligence
Data analysis
C++
Computer Programming
Continuous Integration
Data Visualization
Python
Scientific Computating
Software Engineering
Build Management
Data Management
Job description
- Contribute to the development, coordination, and/or evaluation of ALCF programs, services, or technical workflows.
- Support education, training, user engagement, or operational pipelines designed to build and sustain a highly skilled scientific computing workforce.
- Participate in cross-functional initiatives that may include student programs, user training, or data management.
- Deliver high-quality organizational, technical, or communication support to ensure smooth execution of programs and services.
- Collaborate with multidisciplinary teams of scientists, engineers, and program staff to advance project goals.
Requirements
The Leadership Computing Division at Argonne National Laboratory is seeking a highly motivated Postbaccalaureate Appointee to support programs, services, and/or technical initiatives that advance the ALCF's mission. This role is designed for recent bachelor's degree graduates interested in scientific data visualization, science communication, advanced display technologies, and/or the application of artificial intelligence (AI/ML) to support these initiatives. The specific scope of work may include, * Recently completed bachelor's degree in computer science, computational science, physical sciences, engineering, or a related field.
- Experience in programming with one or more languages such as Python, C, or C++.
- Strong organizational skills, attention to detail, and ability to manage multiple tasks or deadlines.
- Effective collaboration skills and ability to work well in team-based environments.
- Strong written and/or oral communication skills.
- Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred Qualifications
- Experience with scientific data visualization software tools, or software development with 3D gaming engines for use in virtual/extended reality (VR/XR).
- Experience with software build, testing, CI/CD workflows, or maintaining reliable software services.
- Familiarity with HPC, AI/ML, or data visualization algorithms and techniques.
- Experience supporting STEM or HPC educational programming, student engagement, or user training.
- Experience with basic data analysis, reporting, or process documentation.
About the company
The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise., Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.