The Department of Mathematics of Vrije Universiteit Amsterdam welcomes applications for a fully-funded, 4-year PhD position in applications of topology to the origins of life as part of the PRELIFE Consortium (
www.prelife.originscenter.nl). The student will work on developing and applying tools in topological data analysis to study the earliest evidence of life on Earth, under the supervision of Renee Hoekzema at VU Amsterdam and Mark van Zuilen at Naturalis, and in collaboration with Inge Loes ten Kate (Utrecht University), Frank van Ruitenbeek (University of Twente), and Otto Sumray (Center for Systems Biology Dresden).
The PRELIFE consortiumThe origin of life remains one of the greatest mysteries in science. While many theories have been proposed, no single explanation has yet gained universal agreement. That’s where the PRELIFE consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together we will explore two fundamental questions: How did life emerge on Earth, and how common are the conditions elsewhere in the universe?
To answer these profound questions, we will take an interdisciplinary approach, bringing together diverse perspectives to unlock new insights. But we believe this question is not just for scientists, it is for everyone. That’s why we will invite teachers, students, and the public to join us, through educational programs, artistic collaborations, and museum partnerships.
We’re searching for answers to life’s biggest questions, and we need your help. As part of the PRELIFE program we offer 15 exciting research projects. Are you a student with deep expertise in your field and a passion for crossing disciplinary boundaries? Each project connects different scientific fields, working together to unlock the secrets of life’s origins and take the public along. Are you in?
About the project Distinguishing biogenic fossils from abiogenic features in the rock record is a central challenge for the study of the earliest traces of life on our planet. Our understanding of the origins of life could be greatly informed by correct interpretation of the environment and mode of life of the most ancient microfossils - if we are able to correctly differentiate these from abiotic structures with similar morphological characteristics. Although different qualitative biogenicity criteria have been suggested, debates surrounding the most ancient microfossils on Earth have remained unresolved. In recent years, a novel quantitative approach aims to compare the morphology of biological microstructures with those of abiologic microstructures. Topological data analysis (TDA) is an upcoming field at the intersection of data science and mathematics applying advanced techniques from the mathematical field of topology in the study of shapes in data. It has been successfully applied to pattern recognition and image analysis. In contrast with machine learning techniques, the methods in TDA are generally traceable rather than black-box and do not require large amounts of training data. The aim of this project is to develop and apply the TDA toolkit to build a quantitative biogenicity test for populations of morphological features.
Topology and its applications at the VUTopology research at VU Amsterdam is part of the Center for Topology and its Applications (CTA^2
https://www.cta2.nl/) at the Department of Mathematics. We are an inclusive, interdisciplinary group, and diversity and internationalism is at the heart of our research principles, as well as our teaching practice.
The preferred starting date is 1 September 2025.
Applications from all groups currently under-represented in academic posts are especially encouraged. We particularly welcome applications from women and people with an ethnic minority background.
Your duties - doing research towards writing a PhD thesis
- teaching tasks (roughly 15% of your time), for instance supervising exercise classes