Computational Physics Designer - Python Problem Challenges

Advanced Search; Kuwait City; On-site; KWD 8,900 - 15,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a project-based engagement, not permanent employment.

For this role, physicists with Python experience will design computational physics problems, validate solutions in Python with NumPy/SciPy, and document statements and answers. Expected workload is about 10–20 hours weekly during active phases.

Qualifications

• Degree in Physics or related field.
• Python proficiency for numerical validation.
• Experience with numerical simulation methods.

Responsibilities

• Design computational physics problems mirroring real research workflows.
• Create Python-based problems using NumPy, SciPy, and SymPy.
• Ensure problems are computationally intensive and not solvable manually.
• Develop questions spanning mechanics, EM, thermodynamics, and quantum topics.
• Verify solutions with Python and standard physics libraries.
• Document statements clearly and provide verified answers.

Skills

Python programming

Numerical validation

Problem design

Education

Physics degree

Tools

Python

NumPy

SciPy

Pandas

MATLAB

R

C

SQL

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a project-based engagement, not permanent employment.

For this role, physicists with Python experience will design computational physics problems, validate solutions in Python with NumPy/SciPy, and document statements and answers. Expected workload is about 10–20 hours weekly during active phases.