Internship / Master Thesis (m/f/d) - Physics-informed Ai On Complex Thermal Processes
ABB UK
Hybrid
Python package development
Physics-informed machine learning
Neural operator
You will develop advanced physics-informed AI models tailored for complex thermal processes to identify key features of process stability
Job Summary
You will develop advanced physics-informed AI models tailored for complex thermal processes to identify key features of process stability.
You will work on data analytics and physics-informed machine learning, especially Neural Operator, for industrial applications, developing mainly Python packages.
ABB empowers employees to lead, grow, and be proud of the impact they create, helping industries run leaner and cleaner.
Matching Summary
You will develop advanced physics-informed AI models tailored for complex thermal processes to identify key features of process stability.
Skills & Requirements
Must-have
Python package development
Physics-informed machine learning
Neural Operator
Data analytics libraries
Linux system familiarity
Nice-to-have
Proactiveness for new concepts
Above-average motivation
Curious, courageous, and creative minds
Key Requirements
Currently enrolled in applied mathematics, physics, computer science, data science, engineering or similar