PhD scholarship in Data-driven integration of micro 3D printing and micro moulding process chain for resilient and sustainable production of thermoplastic microfluidic systems for diagnostics

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If you are building your career as a scientist in advanced manufacturing, micro engineering, data‑driven process modelling – and you are looking for a PhD position where your work can shape the production micro-technologies of tomorrow’s healthcare and biomedical technologies – this opportunity is for you. At DTU, you will push the boundaries of what is possible in micro polymer processing and micro tooling technologies by developing next‑generation micro manufacturing process chains with real industrial impact. As a PhD Student, you will work at the forefront of digital micro manufacturing research, combining experimental processing, material characterisation, simulation, and in‑situ process monitoring. You will collaborate closely with industry leaders and academic experts across Europe, gaining a unique profile that integrates scientific excellence with hands‑on industrial relevance—an ideal foundation for an ambitious research career. The PhD position is part of the Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) Doctoral Network ‘MicroMan4Health’ on Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The PhD project is anchored at the Section of Manufacturing Engineering of the Department of Civil and Mechanical Engineering, where important societal challenge of increasing sustainability of production (both environmental and economical) sets the overall vision for the work in the section. This in particular involves adopting the Industry 4.0 framework and establishing the digital twin of manufactured products by the combination of process monitoring by sensors and process modelling, Responsibilities and qualifications Your overall purpose will be to develop a fully digitalized, data-driven micromanufacturing process chain for fabrication of thermoplastic microfluidic diagnostic systems by integrating micro 3D printing (µ3DP) with micro injection molding (µIM) into a unified digital manufacturing cell. The work focuses on creating digital dataflows linking µ3DP, µIM, simulation tools, and optical quality control, enabling high-precision polymer soft tooling and real-time process monitoring. You will work at the intersection of experimental polymer processing, micro engineering, digital manufacturing and simulation technologies for biomedical analytics applications. Through close collaboration with dedicated industrial and academic partners, you will generate new scientific insights and deliver actionable results that enable industrial implementation of micro additive manufacturing and micro injection molding solutions. Your primary tasks will be to integrate µ3DP and µIM into a digital micromanufacturing process chain and develop complete digital dataflows between all subsystems. You will enable µ3DP fabrication of soft tools using a µIM digital twin and formulate Design for Micromanufacturing rules. Furthermore, you will implement in situ process monitoring and analyze real-time sensor data, while optimizing processing parameters using modelling and data-driven approaches. The position also involves validating models through iterative comparison with experiments and uncertainty quantification, as well as contributing to the integration and demonstration of the developed process at industrial partners To succeed in this role, you must have a strong foundation in materials processing, polymer materials, or manufacturing technologies, as well as experience with experimental laboratory work and data analysis. An interest in numerical simulation and/or process modelling is also required. Furthermore, you should be able to work independently while collaborating effectively in a multidisciplinary and international environment. Excellent communication skills in English, both written and spoken, are essential. Important note = MSCA Eligibility – Mobility Rule Please note that this PhD position is funded under the Horizon Europe Marie Skłodowska‑Curie Action