Job Description: Technical Contractor - Applied Physics and Data Modelling

We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment.

Key Responsibilities:

Design, run, and refine experiments to capture data under various test conditions.
Structure, record, and manage datasets for machine learning training and validation.
Analyse experimental results to extract insights and provide feedback to improve product/system performance.
Transition an existing mechanical/physics-based model into a thermodynamic framework.
Tune and optimise models to accurately represent real-world outcomes.
Build and refine AI/ML models using PyTorch.
Perform simulation and modelling work using Matlab.

Required Skills & Experience:

Strong grounding in thermodynamics and applied physics/engineering.
Hands-on experience with PyTorch for machine learning.
Proficiency in Matlab for analysis and simulation.
Proven track record of systematic experiment design and data analysis.
Practical mindset with the ability to work directly with hardware and real-world testing environments.
Strong analytical and problem-solving skills.

Desirable Experience:

Previous work in food tech, IoT, or robotics.
Familiarity with embedded systems or sensor integration.
Exposure to fast-paced R&D or startup environments