ABB · 6 days ago
Thesis Work for Offline Reinforcement Learning with Physics-Informed Data-Driven Models
Location, WV
Full-time
Onsite
New GradABB is a global market leader helping industries become leaner and cleaner. This role involves exploring model-based offline reinforcement learning and refining physics-based simulators with data.
AutomotiveEnergyEnergy ManagementIndustrial AutomationRobotics
Responsibilities
Review state-of-the-art model-based Reinforcement Learning approaches
Investigate techniques in system identification, such as Physics-Informed Neural Networks and their applicability in real-world scenarios
Develop and validate hybrid models using simulations or lab experiments
Qualification
Required
Master's student in Computer Science, Industrial Engineering, or a related field
Background in Machine Learning, Control and Systems Engineering, or similar disciplines
Motivation to solve real-world problems using state-of-the-art methods
Good programming skills (Python)
Self-driven and solution-oriented
Company
ABB
ABB provides electrification and automation solutions for various industries.
Founded in 1988
10001+ employees
H1B Sponsorship
ABB has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (70)
2024 (51)
2023 (58)
2022 (63)
2021 (52)
2020 (46)
Funding
Current Stage
Public CompanyTotal Funding
$548.55MKey Investors
European Investment Bank
2023-11-21Post Ipo Debt· $545.85M
2013-09-23Grant· $2.7M
2001-04-06IPO
Leadership Team
Morten Wierod
CEO
Håvard Devold
Vice President, Market Development, Country Technology manager
Recent News
2025-12-17
Company data provided by crunchbase