AI-Driven Model-Based Control for Continuous Multi-Column Chromatography Systems
Not stated
- Location
- Adelaide, Australia, Australia
- Funding
- Funded PhD Project (Students Worldwide)
- Application deadline
- Year-round applications
About the project
About the Project Adelaide University, School of Chemical Engineering, Biomanufacturing Research Group Unlock the future of automated biomanufacturing! This exciting PhD opportunity at Adelaide University invites you to develop a Python-based controller for continuous multi-column AKTA systems, integrating agentic AI and/or mechanistic models for real-time decision-making and process optimization. Bridge chemical engineering with cutting-edge AI to enhance efficiency, reduce product loss, and enable scalable biopharmaceutical production in dynamic continuous setups. Perfect for talented individuals with backgrounds in Chemical Engineering, Control Systems, or Computer Science, proficient in Python and enthusiastic about AI in bioprocessing. Expect software development, experimental validation, industry collaborations, and high-impact publications. Supervisor : Dr Lukas Gerstweiler ( lukas.gerstweiler@adelaide.edu.au ) Research Group : Biomanufacturing Research Group, School of Chemical Engineering, Adelaide University More Information : https://set.adelaide.edu.au/chemical-engineering/our-research/bioprocess-engineering/biomanufacturing-research-group Eligibility : Applicants should hold (or expect to obtain) a strong Master's or First-Class Honours Bachelor's degree in Chemical Engineering, Biotechnology, Bioprocess Engineering, or a related discipline. English Language Requirements : International applicants require IELTS (minimum 6.5 overall, no band below 6.0) or equivalent TOEFL score. Application Process : Interested candidates should first send an expression of interest to Dr Lukas Gerstweiler ( lukas.gerstweiler@adelaide.edu.au ) including a CV, academic transcripts, and a brief statement of research interests. Suitable candidates will be invited to submit a formal application for admission and scholarship via the Adelaide University research degree portal (adelaideuni.edu.au). Deadline : 1 February 2026 (for scholarship consideration in relevant rounds; contact supervisor as soon as possible). Join a dynamic group at the forefront of biopharmaceutical innovation—your research could shape the future of vaccines, gene therapies, and sustainable protein production!