↳BSc, MSc or PhD in computer science, applied mathematics, applied physics, machine learning or a related technical field
↳Strong applied machine learning experience with time-series, regression, sensor or instrumentation data
↳Strong Python or MATLAB skills and experience with PyTorch, scikit-learn or equivalent frameworks
↳Experience with modest, high-value datasets where validation strategy and data quality matter as much as model architecture
↳Strong understanding of model validation, generalisation, overfitting, feature engineering and experimental design
↳Enough physics and signal-processing knowledge to judge whether a discovered relationship is physically meaningful
↳C/C++ skills highly desirable
↳Advantageous: sensor calibration, metrology, inertial sensing, embedded ML deployment, aerospace, defence or robotics experience
