Publisher
source

University College Dublin

PhD in Generative AI for Novel Downstream Process Design in Biomanufacturing University College Dublin in Ireland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded four-year structured PhD programme with a monthly stipend and a dedicated research budget for conferences, workshops, research expenses, and equipment.

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Country

Ireland

University

University College Dublin

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Keywords

Computer Science
Machine Learning
Systems Engineering
Biomedical Engineering
Chemical Engineering
Biology
Biochemical Engineering
Biomanufacturing

About this position

PhD opportunity at University College Dublin in Generative AI for Novel Downstream Process Design in Biomanufacturing. This funded PhD project is hosted by the School of Chemical & Bioprocess Engineering at University College Dublin (UCD), Dublin, Ireland.

The project is multidisciplinary and combines generative AI, machine learning, computational fluid dynamics (CFD), biomanufacturing, downstream processing, chemical engineering, bioprocess engineering, and systems engineering. The research aims to develop generative AI strategies for the innovative design of downstream processing unit operations, using a closed design loop to optimise novel unit-operation configurations and to align computational models with experimental observations.

Eligibility highlights: applicants should hold an MSc in chemical engineering, bioprocess engineering, artificial intelligence, machine learning, systems engineering, or a related discipline. Strong Python skills and experience with machine learning frameworks are expected, especially in generative AI. Prior CFD experience is highly desirable.

Funding: the position is fully funded and includes a monthly stipend plus a dedicated research budget to support international conferences, workshops, research expenses, and equipment.

Application: prepare a single PDF with your CV, academic transcripts, and letter of motivation. Email it to Dr. Sebastián Espinel Ríos at [email protected]. Applications are accepted all year round, and the anticipated start date is flexible between October 2026 and May 2027.

Funding details

Fully funded four-year structured PhD programme with a monthly stipend and a dedicated research budget for conferences, workshops, research expenses, and equipment.

What's required

Applicants should hold an MSc in chemical engineering, bioprocess engineering, artificial intelligence, machine learning, systems engineering, or a related discipline. Experience with Python and machine learning frameworks is expected, particularly in generative AI. Previous knowledge or experience in CFD is highly desirable.

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