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Thesis Work for Offline Reinforcement Learning with Physics-Informed Data-Driven Models at ABB - ApplyBlast

Thesis Work for Offline Reinforcement Learning with Physics-Informed Data-Driven Models

ABB

9 months ago

4.1 on Glassdoor

Västerås, Sweden

Onsite

Internship

Intern

0 applicants

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About this role

A Master's thesis position at ABB Research in Västerås focused on model-based offline reinforcement learning for industrial control. The work explores combining physics knowledge and data to refine physics-based simulators using Physics-Informed Machine Learning and hybrid modeling. The 5-month placement is part of ABB's talent pipeline for future opportunities.

Skills

Qualifications

Master's Student in Computer ScienceMaster's Student in Industrial EngineeringMaster's Student in Related Field

About ABB

careers.abb

Company Size

1-10 employees

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ABB is a global technology leader operating across four business areas: Electrification, Process Automation, Motion, and Robotics & Discrete Automation. The company delivers innovative solutions to help build a cleaner, smarter, and more sustainable future for industries worldwide. ABB is consistently recognized as one of the world's most sustainable corporations and most attractive employers.