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University of Graz

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Postdoctoral openings in automated chemistry & machine learning, organic chemistry, and polymer chemistry at University of Graz University of Graz in Austria

Degree Level

Postdoc

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
Chemical Engineering
Materials Science
Organic Chemistry
Polymer Chemistry
Sustainable Chemistry
Homogeneous Catalysis
Biomass Valorization
Polymer Science
Machine learning

About this position

University of Graz is advertising three postdoctoral openings in the research group of Katalin Barta at the Institute of Chemistry / Unit Sustainable Catalysis. The positions span automated chemistry and machine learning (ADVANCE project), organic chemistry (Woodvalue project), and polymer chemistry (StimulART project).

The automated chemistry postdoc focuses on developing and optimizing catalytic systems for biomass and bio-based molecules, designing high-throughput experiments, and integrating AI/ML with automated workflows and ChemSpeed systems. The organic chemistry postdoc centers on sustainable routes to bioactive heterocycles from wood, including synthetic organic chemistry, natural product synthesis, retrosynthesis, and catalytic methods. The polymer chemistry postdoc is aimed at circular polymer chemistry and recycling, with emphasis on high-performance polymers, characterization, and sustainable polymer design.

Eligibility highlights: PhD required. For the automation/ML role, a PhD in Chemistry or Chemical Engineering plus experience in automated chemistry, AI-driven chemistry, high-throughput screening, catalysis, and programming is expected. For the organic chemistry role, a PhD in chemistry with strong synthetic expertise and experience in analytical/synthetic techniques is needed. For the polymer chemistry role, a PhD in Polymer Chemistry with experience in polymer synthesis, characterization, and recycling is preferred. Strong English and a strong publication record are emphasized across the posts.

Funding: These are postdoctoral research positions at the University of Graz, Austria, tied to funded projects (ADVANCE, Woodvalue, StimulART). No salary or stipend amount is stated in the post.

How to apply: Prepare a CV, publication list, research statement (max 1 page), and the names of two referees. Follow the application instructions in the linked images and/or the University of Graz jobs portal. One post explicitly provides the contact email [email protected].

Research keywords: automated chemistry, machine learning, AI-driven chemistry, catalysis, biomass valorization, sustainable chemistry, organic synthesis, lignin chemistry, polymer chemistry, circular polymers, recycling, bio-based materials.

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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