AI-Driven Model-Based Control for Continuous Multi-Column Chromatography Systems University of Adelaide in Australia

Join the Biomanufacturing Research Group at the University of Adelaide's School of Chemical Engineering for a cutting-edge PhD project focused on developing AI-driven, model-based control systems for continuous multi-column chromatography. This research aims to revolutionize automated biomanufacturing by integrating agentic artificial intelligence and mechanistic models into Python-based controllers for AKTA systems, enabling real-time decision-making and process optimization. The project bridges chemical engineering with advanced AI, targeting enhanced efficiency, reduced product loss, and scalable biopharmaceutical production in dynamic continuous setups.

As a PhD candidate, you will engage in software development, experimental validation, and industry collaborations, contributing to high-impact publications and the future of vaccines, gene therapies, and sustainable protein production. The research group offers a dynamic, innovative environment at the forefront of biopharmaceutical engineering, with access to state-of-the-art facilities and strong industry links.

Eligibility requires a strong Master's or First-Class Honours Bachelor's degree in Chemical Engineering, Biotechnology, Bioprocess Engineering, or a related discipline. Applicants should be proficient in Python and passionate about applying AI to bioprocessing. International candidates must meet English language requirements (IELTS 6.5 overall, no band below 6.0, or equivalent TOEFL score).

Applications are accepted year-round, but for scholarship consideration, submit your expression of interest by 1 February 2026. Begin by contacting Dr Lukas Gerstweiler with your CV, transcripts, and a brief research statement. Successful applicants will be invited to formally apply via the University of Adelaide research degree portal.

For more information about the research group and project details, visit the Biomanufacturing Research Group's academic page. This opportunity is ideal for those eager to shape the future of biomanufacturing through interdisciplinary research in chemical engineering, AI, and process control.