Computational Physics & Data Science Faculty

Brigham Young University; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

Brigham Young University in Utah seeks a professional faculty member in Computational Research Support within Physics and Astronomy. The role focuses on teaching advanced computational lab courses, mentoring students, and supporting faculty research with computing expertise across disciplines.

Requirements include an MS or PhD in physics, astronomy, computational science, or related field, with strong programming and HPC experience.

Qualifications

• Advanced degree (M.S. or Ph.D.) in physics, astronomy, computational science, or related field
• Expertise in scientific computing, numerical methods, data analysis, and modeling
• Proficiency in Python, C/C++, Julia or similar; familiarity with libraries/tools
• Experience with software development practices: version control, testing, documentation
• Mentorship of students or collaborators in computational methods
• Familiarity with HPC, parallelization, and cloud-based resources
• Knowledge of reproducible research, data management, and workflows
• Ability to collaborate across disciplines and with staff

Responsibilities

• Teach and develop computational lab courses and related curriculum
• Mentor undergraduate and graduate students and teaching assistants
• Support faculty research with computational expertise and infrastructure
• Contribute to departmental research computing facilities and cybersecurity compliance
• Collaborate with faculty, students and staff to advance data-driven science

Skills

Scientific computing

Python

C/C++

Data analysis

HPC

Education

Master's degree

PhD degree

Tools

Git

Linux

CUDA

Job description

Brigham Young University in Utah seeks a professional faculty member in Computational Research Support within Physics and Astronomy. The role focuses on teaching advanced computational lab courses, mentoring students, and supporting faculty research with computing expertise across disciplines.

Requirements include an MS or PhD in physics, astronomy, computational science, or related field, with strong programming and HPC experience.