AI/ML-Powered Digital Twin Frameworks for Biopharmaceutical Processes

About the Project

Summary

This PhD project aims to develop AI/ML-enabled, physics-informed digital twin methodologies to better capture the dynamics of biopharmaceutical processes. The project will deliver tailored computational frameworks that integrate mechanistic and first-principles knowledge with data-driven models, enabling digital twins that can reduce reality gaps and support continuous learning in biomanufacturing. Candidates will have opportunities to focus on either upstream or downstream biopharmaceutical processing.

Ideal Candidate

Applicants should hold an MSc in chemical/(bio)process engineering, AI/ML, systems engineering, or a related field. Experience with Python and machine learning frameworks is expected; prior knowledge in biomanufacturing technologies is a plus but not essential. Candidates should be passionate about advancing the digitalization of bioprocesses. The start date is expected to be September 2026.

Benefits

A 4-year structured PhD program at University College Dublin (UCD), School of Chemical and Bioprocess Engineering. The position includes a monthly stipend and a dedicated research budget to support attendance at international conferences and workshops, as well as relevant research expenses and equipment.

Interested candidates should email a single PDF containing their CV, academic transcripts, and a letter of motivation to Dr. Sebastián Espinel Ríos (sebastian.espinelrios@ucd.ie).

Funding Notes

Fully funded position (monthly stipend and dedicated research budget)