Three PhD positions in ML-guided directed evolution

Gidacarsisiemlak; Groningen; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Fully funded

4-year program

Job summary

The University of Groningen and Eindhoven University of Technology invite applications for three fully funded PhD positions under the ML-GUIDE project. You will pursue ML-guided directed evolution to accelerate discovery of biomolecules for therapeutic and catalytic applications.

Three researchers will embed in the respective labs to design peptide catalysts, cyclic-peptide drugs, or predictive biocatalysis, collaborating across institutions while starting between 01-11-2026 and 01-03-2026.

Qualifications

• MSc degree (or equivalent) in a related field.
• Experience in directed evolution, molecular machine learning, NGS, or synthetic chemistry is highly preferred.
• Interest in interdisciplinary research at the interface of synthetic biology, ML, and chemistry.

Responsibilities

• Develop a first-in-class ML-guided framework to accelerate design of high-affinity binders.
• Collaborate with groups at UG and TU/e to guide engineering efforts for a biomolecule and its function.
• Contribute to Design-Build-Test-Learn cycles and active learning to improve models.

Skills

MSc background

Interdisciplinary teamwork

Analytical skills

Communication skills

Education

MSc or equivalent in (Bio)chemistry, Biotechnology, Computational Chemistry, Synthetic Chemistry/Biology

Job description

Three PhD positions in ML-guided directed evolution

Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We are offering three fully-funded, 4-year PhD positions at the University of Groningen or the Technical University of Eindhoven.

Faculty of Science and Engineering

Three PhD positions in ML-guided directed evolution

Evolution is an all-purpose problem solver, which researchers mimic in the laboratory to engineer tailor-made (bio)molecules that aid us in combating diseases and in realizing a sustainable economy. While effective, such directed evolution campaigns are not only laborious and time-consuming, but also cover only a miniscule fraction of the unimaginably large sequence space available. As a result, means to guide evolutionary trajectories along a biomolecule’s fitness landscape are sought-after, as they could greatly accelerate evolutionary searches.

Within the framework of the recently funded ML-GUIDE project, we will make directed evolution guidable and, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio)catalysts for synthetic applications. By seamlessly merging cutting-edge directed evolution, next-generation sequencing, and deep learning approaches, you will establish accelerated Design-Build-Test-Learn cycles to continuously improve models via active learning and guide evolutionary trajectories toward promising but otherwise inaccessible sequence spaces.

You will be embedded in one of the three research groups involved in the ML-GUIDE project and focus your efforts on guiding engineering efforts for one particular biomolecule and its associated function.

(1) Dr. Robert Pollice ( https://pollicegroup.web.rug.nl/ ) leads the Artificial Organic Chemistry Lab at the University of Groningen and will supervise a project focusing on developing efficient peptide catalysts for powerful C-C-bond forming reactions.

(2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing potent cyclic-peptide drugs for therapeutic intervention.

(3) Prof. Clemens Mayer ( https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University of Groningen and will tackle a project on making the directed evolution of biocatalysts predictable by machine learning.

As part of the ML-GUIDE team, you will closely collaborate with researchers to identify commonalities and distinct aspects of engineering biomolecules for diverse applications!

The preferred starting date is between 01-11-2026 and 01-03-2026.

Faculty of Science and Engineering

Who are you?

We are looking for creative, motivated, and determined candidates, who meet the following requirements:

• An MSc degree (or an equivalent university degree) in (Bio)chemistry, Biotechnology, Computational Chemistry, Synthetic Chemistry/Biology or a related field.
• Experience in one of the following areas is highly preferred: directed evolution, molecular machine learning, next-generation sequencing, or synthetic chemistry.
• An interest in working as part of a highly interdisciplinary team at the interface of synthetic biology, molecular machine learning, and synthetic chemistry.
• A research-oriented attitude with good analytical skills.
• Excellent communication and organization skill.

What can you expect from us?

• In accordance with the collective labor agreement for Dutch universities, we offer a salary of at least € 3.204up to a maximum of € 4.051 (promovendus)gross per month for a full-time employment contract.
• 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE). You can also work more or fewer hours in exchange for more or fewer free hours. For example, with a 40-hour workweek, you save 96 extra free hours, and with a 36-hour workweek, you lose 96 hours.
• End‑of‑year bonus of 8.3% and 8% holiday allowance.
• Extensive opportunities for personal and professional development.
• Promovendus: 1 year + 3 year

Where will you be working?

At the University of Groningen (UG), researchers from all fields of academia and technology are working on academic challenges and societal questions. Lecturers prepare their students for meaningful careers within or outside the academic world. Interdisciplinary research and teaching, sharing of knowledge, collaboration with businesses, government institutions, and societal organizations are aspects that are of the utmost importance to this European top university. The UG aims to be an open academic community with an inclusive and safe working climate that invites you to add your value.

The University of Groningen is a research university, currently in or around the top 100 on several influential ranking lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University, offering first‑rate education and research in a wide range of science and engineering disciplines. In this position, you would be embedded in the Stratingh Institute for Chemistry.

Eindhoven University of Technology is an internationally top‑ranking university in the Netherlands that combines scientific curiosity with a hands‑on attitude. Our spirit of collaboration translates into an open culture and a top‑five position in collaborating with advanced industries. Fundamental knowledge enables us to develop innovative solutions to complex societal challenges. In this position, you would be embedded in the Institute for Complex Molecular Systems and in the Eindhoven AI Systems Institute.

Do you have any questions or need more information?

Questions about your application process?

When scheduling meetings, we will take your schedule into account as much as possible.

The University of Groningen considers social safety important. We strive to be a university where staff and students feel respected and at home, regardless of differences in background, experiences, perspectives, and identity. For more information, see also our page about our diversity policy.

Acquisition is not appreciated.

Our selection procedure follows the guidelines of the NVP Application Code.