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Assistant Professor, Industrial Digital Twins

Otaniemi, Espoo, Finland💼 Full-time🗓 2026-06-15 → 2026-07-31

Core

Developing industrial digital twins for autonomous and intelligent machines, focusing on holistic industrial information management and mechanical system design.

Role type

Assistant Professor (Tenure Track) in Industrial Digital Twins

Builds

Digital twin-enhanced industrial machinery, networked digital twins, and autonomous robot systems

Domain

Mechanical Engineering, Mechatronics, Industrial Internet of Things

Deliverable

production ML models | product features | research

Required skills

Industrial digital twins, networked digital twins, digital design of mechanical systems, system interoperability, validation of digital twins, funding acquisition, student supervision

Preferred skills

Theoretical and experimental research approaches, cooperation with company partners, curriculum development

Technologies

Cyber-physical systems, industrial networks, digital twin platforms

Responsibilities

Lead research team and secure funding, develop Aalto Industrial Internet Campus activities, supervise doctoral and Master's students, teach mechatronic courses

Seniority

Early-career academic (Assistant Professor)

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