Project Engineer Physics

We are looking for a proactive and results‑driven Project Engineer Physics (Fully Remote) to lead project execution, manage technical deliverables, and drive project delivery through sound engineering practices and effective coordination. This role bridges technical understanding and project management to deliver our best services to clients.

Key responsibilities :

• Apply advanced physics principles and theories to analyse and solve complex engineering challenges within assigned projects

• Conduct research, modelling and simulation activities to validate design concepts and optimise project outcomes

• Collaborate with cross-functional engineering teams to integrate physics-based solutions into project deliverables

• Develop technical specifications and documentation that accurately reflect physics requirements and constraints

• Perform calculations, data analysis and interpretation to support engineering decision-making and project progression

• Review and validate experimental or prototype results against theoretical predictions and project objectives

• Provide technical expertise during project planning, design and implementation phases

• Maintain accurate project records and contribute to technical reporting and presentations

What we're looking for :

• Bachelor's degree in Physics, Engineering Physics or a related physics-focused engineering discipline

• Instrumentation & Control Systems: Mastery of sensor systems, controllers, PLCs (Programmable Logic Controllers), and SCADA for industrial automation.

• Applied Thermodynamics & Fluid Mechanics: Analysis of heat transfer, piping systems, HVAC, and energy conversion.

• Multiphysics Modelling & Simulation: Proficiency in simulation software such as MATLAB, Ansys (CFD/Structural), COMSOL, or LabVIEW for testing physical systems prior to fabrication.

• Engineering Design (CAD): Ability to read and create technical drawings, P&IDs (Piping and Instrumentation Diagrams), and 2D/3D drawings using AutoCAD or SolidWorks.

• Metrology & Data Analysis: Precision measurement, instrument calibration, failure statistics, and field data processing using Python or advanced Excel.

• Materials Science & Photonics: Understanding of material properties (corrosion, stress) or optical/laser systems (if working in the semiconductor or medical industries).