PhD Position on Pharma Industrial Processes: Aarhus University invites applications for an industrial PhD fellowship focusing on the integration of Digital Twin technologies in pharmaceutical manufacturing processes. The goal is to streamline product delivery and optimize maintenance efforts in collaboration with Technicon, enhancing efficiency and customer satisfaction.
PhD Position on Digital Twin-enabled Validation and Maintenance for Pharma Industrial Processes
Designation
PhD Candidate in Digital Twin-enabled Validation and Maintenance
Research Area
Digital Twin technologies in pharmaceutical manufacturing, focusing on validation, monitoring, and maintenance.
Location
- Technicon: Sjællandsvej 19, 9500 Hobro, Denmark
- Aarhus University: Helsingforsgade 10, 8200 Aarhus, Denmark
Eligibility/Qualification
- Relevant Master’s degree in computer engineering, computer science, robotics, or a similar field.
- Background in digital twin engineering, autonomous systems, and machine learning.
- Experience in fault detection, multi-objective optimization, and online decision-making.
- Familiarity with cyber-physical modeling and simulation, Digital Twins, and multi-agent systems.
- Proficiency in Python/R and probability & statistics.
Job Description
The PhD candidate will conduct research to advance Digital Twin applications for validation and certification in the pharmaceutical industry, thereby reducing time-to-market and improving maintenance strategies. Key tasks include:
- Developing methods to enhance Digital Twin capabilities for validation.
- Conducting digital experiments to streamline processes.
- Managing operation of multiple monitors and addressing system inconsistencies.
- Collaborating with interdisciplinary teams at Technicon and Aarhus University.
How to Apply
Interested candidates should submit their application via the provided link on the application page. A project description (as given in the announcement) must be uploaded as a PDF.
Last Date to Apply
August 31, 2025, at 23:59 CEST.
For more information or inquiries, candidates can contact:
- Peter G. Larsen: pgl@ece.au.dk
- Mirgita Frasheri: mirgita.frasheri@ece.au.dk
Apply now to contribute to innovative advancements in pharmaceutical automation!
