Part-time Computational Optics Engineer - Python Problem Designer

Advanced Search; Kuwait City; On-site; KWD 11,000 - 15,000; Full time

Job summary

Advanced Search is seeking optical engineers with Python proficiency to design computational physics problems that simulate real physics research workflows. The work involves creating problems requiring Python (Numpy, SciPy, Sympy) and ensuring they are computationally intensive.

Projects are part‑time, with 10–20 hours per week during active phases; compensation can reach up to $35 per hour, depending on level and pace of contribution.

Qualifications

• Degree in Physics or related fields.
• Python proficiency for numerical validation; MATLAB, R or other languages can be equivalent.
• 2+ years of professional experience; applied, research, or teaching.
• Experience with numerical simulation methods.
• Ability to design problems mirroring real physics research workflows.
• Creative thinking in problem design across diverse physics areas.

Responsibilities

• Design original computational physics problems that simulate real physics research workflows.
• Create problems requiring Python programming to solve using Numpy, SciPy, Sympy.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
• Develop problems requiring non‑trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
• Base problems on real research challenges or practical applications from physics practice.
• Verify solutions using Python with standard physics simulation libraries.
• Document problem statements clearly and provide verified correct answers.

Skills

Python programming

Numerical simulation

Physics knowledge

Creative problem design

Mechanics/EM/thermo/quantum basics

Education

Physics degree

Tools

MATLAB

R

C

SQL

Numpy

Pandas

SciPy

Job description

Advanced Search is seeking optical engineers with Python proficiency to design computational physics problems that simulate real physics research workflows. The work involves creating problems requiring Python (Numpy, SciPy, Sympy) and ensuring they are computationally intensive.

Projects are part‑time, with 10–20 hours per week during active phases; compensation can reach up to $35 per hour, depending on level and pace of contribution.