ABB

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

ABB

2 months ago
Västerås, Sweden
Onsite
Internship
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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
ABB

About ABB

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About ABB

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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