About the opportunity
If you are building your career as a scientist in digital manufacturing, industrial AI, and data-centric production systems—and you are looking for a PhD where your research will contribute to the next generation of intelligent micromanufacturing—this opportunity is for you. At DTU, you will contribute to the development of digital infrastructures that enable manufacturing systems to become connected, autonomous, and data driven. Working at the intersection of manufacturing engineering, artificial intelligence, and software platforms, you will develop technologies that integrate heterogeneous production data, support AI-driven decision-making, and advance intelligent manufacturing. Through close collaboration with leading industrial and academic partners, you will build a unique research profile combining scientific excellence with hands-on experience in developing scalable digital solutions for advanced manufacturing. The PhD position is part of the Horizon Europe Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The doctoral project is hosted within the Section of Engineering Design and Manufacturing Systems at the Department of Civil and Mechanical Engineering, DTU.
Salary and benefits
- Fully-funded 3-year PhD employment contract based on the collective agreement with the Danish Confederation of Professional Associations
- Opportunities for salary supplements negotiated in accordance with DTU's salary structure for scientific staff
- Participation in an international network and collaborative research environment with leading industrial and academic partners
- Access to career paths and professional support at a globally recognized technical university
Who can apply?
- Applicants must hold a two-year master's degree (120 ECTS points) in Mechanical Engineering, Manufacturing Engineering, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree
- Applicants must comply with the MSCA Mobility Rule: candidates must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months during the 36 months immediately preceding recruitment
- Applicants must be doctoral candidates (i.e., not already hold a doctoral degree) and be eligible under MSCA Doctoral Network rules at the time of recruitment
- Strong knowledge of digital manufacturing, Industry 4.0, cyber-physical production systems, or smart manufacturing
- Experience with programming and software development, such as Python or similar, as well as data engineering, database technologies, or data integration for industrial applications
- Knowledge of machine learning, data analytics, or AI methods for manufacturing applications
- Ability to work independently, manage research activities, and collaborate effectively in an international and multidisciplinary environment
Required documents
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma in English, including official description of grading scale
- A copy of the BSc thesis in PDF format
- A copy of the MSc thesis in PDF format
- Copies of any published scientific articles in PDF format
When to apply
- Application deadline is 30 September 2026 (23:59 Danish time)
- Starting date is 1 March 2027 or according to mutual agreement
How to apply
- Open the online application link on the official portal
- Fill out the online application form
- Prepare all required materials in English and merge them into a single PDF file
- Submit the complete online application no later than 30 September 2026
Additional information
- Short stays such as holidays, compulsory national service, or time spent as part of a refugee procedure are not considered for the MSCA mobility rule
- Applicants may apply prior to obtaining their master's degree but cannot begin before having received it
- As DTU works with research in critical technology subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Master's degree holders in Mechanical Engineering, Computer Science, Data Science, or Software Engineering.
- Experts in Python, machine learning, and Industry 4.0/cyber-physical production systems.
- Candidates who meet the MSCA Mobility Rule (not residing in Denmark for more than 12 months in the last 3 years).
What should you think carefully about?
- Candidates must comply with the MSCA Mobility Rule, meaning they cannot have resided in Denmark for more than 12 months in the last 3 years.
- The role is on-site in Kgs. Lyngby, Denmark, and involves research in critical technology subject to security and export control.
- Applicants must not already hold a doctoral degree to be eligible for this MSCA Doctoral Network position.
How could this fit your current goals and plans?
This PhD offers a unique blend of industrial AI and manufacturing engineering, providing access to an international network of academic and industrial partners through the MSCA Doctoral Network.
Our take
Highly recommended for international applicants with a background in AI and digital manufacturing who meet the MSCA mobility rule.
Ready to apply?
Review the opportunity on the official website before applying.
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