PhD Stipend: Physics-Informed AI for Industrial Energy

Dansk Sprogskole; Aalborg; On-site; DKK 370,000 - 420,000; Full time

Job summary

AAU Energy at Aalborg University invites applications for a PhD researcher to model and control electrified industrial thermal systems using physics-informed AI and data-driven learning. You will work across thermal energy systems, machine learning, and optimization, developing reduced-order models and real-time control strategies, with access to industrial data and test cases.

The position starts 15 September 2026 (or soon), lasts three years, with a competitive stipend and international

Qualifications

• Master's degree is required for PhD stipend allocation.
• PhD stipend is for three years and the candidate must enroll as a PhD student.
• English is widely used as the working language in research and teaching.
• Applicants should have a clear drive to develop expertise and contribute at a high scientific level.

Responsibilities

• Develop mathematical and physics-based models of complex thermal systems.
• Create reduced-order representations for real-time optimization and control.
• Combine physical models with data-driven learning to handle varying operating conditions.
• Design control strategies for real-world constraints.
• Publish work, present internationally, and build a research profile.

Skills

Curiosity

Modelling

Data-driven methods

Modelling & control

Independence

Education

Master's degree

Job description

AAU Energy at Aalborg University invites applications for a PhD researcher to model and control electrified industrial thermal systems using physics-informed AI and data-driven learning. You will work across thermal energy systems, machine learning, and optimization, developing reduced-order models and real-time control strategies, with access to industrial data and test cases.

The position starts 15 September 2026 (or soon), lasts three years, with a competitive stipend and international