Next-Generation Pharmaceutical Manufacturing: 3D Printing Meets AI-Driven Process Intelligence

About the Project

We are excited to offer a PhD position at the forefront of Pharmaceutics 4.0, combining advanced 3D printing technologies with cutting-edge AI-copilot analytical tools to revolutionise point-of-care (PoC) pharmaceutical manufacturing.

The project aims to design, optimise, and validate pharmaceutical products manufactured directly at or near the patient site using 3D printing platforms. Simultaneously, AI-assisted analytics will be developed and applied for real-time quality assurance, predictive modelling of drug release profiles, and adaptive manufacturing control — fully aligning with the principles of Industry 4.0 and Pharmaceutics 4.0.

Key Research Areas:

• Development and optimization of 3D printed oral and implantable dosage forms
• Integration of AI-copilot systems for data-driven process control and formulation prediction
• Ex vivo and in vitro evaluation of printed medicines
• Implementation of quality-by-design (QbD) and real-time release testing (RTRT) frameworks
• Feasibility studies for decentralized, personalized manufacturing in clinical environments

Person specification

• A 1st or 2:1 degree (or equivalent) in Pharmaceutics, Biomedical Engineering, Chemical Engineering, Materials Science, or a related field
• Strong interest in pharmaceutical manufacturing, digital health, and artificial intelligence
• Experience with 3D printing technologies and/or machine learning tools (preferred but not essential)
• Excellent communication, analytical, and problem-solving skills