PhD: Open AI Platform for Data-Driven Micromanufacturing

ApplyMint; Kongens Lyngby; On-site; DKK 360,000 - 480,000; Full time

Job summary

DTU invites applications for a PhD position focused on data-centric micromanufacturing within the Horizon Europe MSCA Doctoral Network MicroMan4Health. You will develop an open digital platform and scalable data lake, enabling AI-driven services for predictive maintenance and real-time analytics in healthcare-related micromanufacturing.

The project emphasizes collaboration across industry and academia, with a 3-year full-time appointment starting March 2027 or by mutual agreement.

Qualifications

• Two-year master's degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Data Science, Software Engineering, or a related field.
• PhD track under MSCA rules and DTU enrolment requirements.
• Strong knowledge of digital manufacturing, Industry 4.0, cyber-physical systems, or smart manufacturing.
• Programming experience (Python or similar) and data engineering/data integration skills.
• Experience with manufacturing data acquisition or sensors is advantageous.

Responsibilities

• Develop an open, digital platform for data-centric micromanufacturing transforming multimodal production data into actionable manufacturing intelligence.
• Build a scalable data lake capable of integrating heterogeneous data from micromanufacturing processes.
• Design plug-and-play AI microservices for predictive maintenance, process monitoring, and real-time analytics.
• Validate the platform on open-architecture metal powder bed fusion systems and assess scalability and interoperability.
• Disseminate research findings through publications and collaboration with industry and academia.

Skills

Python

Digital manufacturing

Industry 4.0

AI methods

Data engineering

Machine learning

Industrial sensors

Education

MSc in Mechanical Eng

Job description

DTU invites applications for a PhD position focused on data-centric micromanufacturing within the Horizon Europe MSCA Doctoral Network MicroMan4Health. You will develop an open digital platform and scalable data lake, enabling AI-driven services for predictive maintenance and real-time analytics in healthcare-related micromanufacturing.

The project emphasizes collaboration across industry and academia, with a 3-year full-time appointment starting March 2027 or by mutual agreement.