PhD Position Data-driven Monitoring Scale-up Biocatalytic Production Process Using UPOs
Listed on 2025-12-02
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Research/Development
Biotechnology, Research Scientist, Biomedical Science, Data Scientist
Job description
Consortium
This position is part of a European Doctoral Network consortium "Machine learning for integrated multi-parametric enzyme and bioprocess design", where 15 doctoral projects will work on enzyme design, bioprocess design, and machine learning tools to create sustainable bioprocesses.
PhD projectIn this project, you will work on designing a scalable bioprocess using unspecific peroxygenase (UPO) enzymes to produce a panel of synthetically useful chemicals. The envisioned process design will include integrated up‑ and downstream processing, and you will apply real‑time monitoring to achieve in‑depth understanding of the bioconversion and accelerate process development time. As a part of the Doctoral Network, you will have the opportunity to participate in workshops and external research stays at partnering institutes/industry to develop technical and transferable skills.
Researchgroups
This project will be embedded in two research groups, namely the Hollmann lab and Klijn lab, both situated in the Department of Biotechnology at Delft University of Technology. The Hollmann lab has expertise on UPO‑based reaction design and subsequent industrial application. The Klijn lab works on the implementation of real‑time analytics in a wide variety of bioprocesses to facilitate automated monitoring and control.
Jobrequirements
We are looking for an outstanding and creative researcher with a strong affinity to work at the boundary of multiple disciplines, namely biocatalysis, bioprocessing, and multivariate data analysis. This includes the internal motivation to expand your horizon, ability to learn quickly, and strong communication skills to easily connect with other experts in and outside the consortium.
Funding requirements- You cannot have resided in The Netherlands in the past 12 months for study and/or work purposes (Marie Curie Doctoral Network requirement).
- A MSc degree in biocatalysis, enzymology, biotechnology, biochemical engineering, or a closely related discipline.
- Lab‑scale biocatalytic processes
- Enzyme production, purification, and characterization
- Using (bio) chemical analytical techniques (e.g., HPLC, GC, GC‑MS)
If you do not recognize yourself in all required skills, please include a clear motivation and approach on how you would like to acquire missing skills during the project in your motivation letter.
Skills that are considered a plus- Programming for data analysis (e.g., R, Python)
- Multivariate data analysis, chemometrics and/or machine learning
- Pro‑active and problem‑solving mindset
- Excellent written and spoken English skills
- Ability to break‑down and communicate complex research data
- Thrives in a fast‑paced, multidisciplinary, and highly collaborative environment
Delft University of Technology is built on strong foundations. As creators of the world‑famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem‑solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.
That is why we invite you to apply. Your application will receive fair consideration.
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