Publisher
source

Gustav Oberdorfer

1 month ago

PhD Opportunity in AI-Driven Enzyme Design for Cofactor-Dependent Reactions at TU Graz Technische Universität Graz in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

University of Graz

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Biology
Computational Biology
Biocatalysis
Machine learning

About this position

Technische Universität Graz is advertising a PhD opportunity in AI-driven enzyme design for cofactor-dependent reactions.

The project is hosted in the lab of Gustav Oberdorfer (Assistant Professor at TU Graz) and builds on the recently established RiffDiff computational pipeline. The research will extend this method to make it aware of (non)covalently linked cofactors across a variety of transformations, with a strong focus on protein design, biocatalysis, and enzyme engineering.

This is a frontier-pushing doctoral project funded by a doc.funds doctoral training grant from the Austrian Science Fund (FWF). The selected candidate will be embedded in the newly funded BioTechPredict PhD program at TU Graz and will have the opportunity to carry out rigorous structure-function testing using iterative design-build-test-learn cycles.

Relevant research keywords include enzyme design, computational biology, machine learning, biocatalysis, and cofactor-dependent catalysis. The post is especially suitable for candidates interested in combining computational methods with experimental validation in a modern protein engineering environment.

The post includes a direct application link to the job offer. No deadline is stated in the post excerpt provided.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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