• Description:

    Join us in exploring the fascinating intersection of mathematics, computer science, and biology as a PhD candidate at Utrecht University. Delve into innovative research projects aimed at understanding biological and social systems’ evolution through mathematical and algorithmic frameworks. Work alongside Dr. Artem Kaznatcheev and contribute to groundbreaking discoveries in cancer, metascience, and beyond.

    As a PhD candidate, you’ll have the autonomy to define your research problems and tools under the guidance of Dr. Kaznatcheev. Explore diverse research directions such as gene-interaction networks, computational complexity, ecological influences on evolution, game theory applications in cancer treatment, and cultural evolution dynamics. Develop skills in computational complexity, model building, data analysis, and interdisciplinary collaboration. Publish your findings in prestigious journals and conferences while engaging in teaching and mentoring activities.

    Qualifications 

    • Demonstrated research experience at the level of a thesis-based Master’s in Math, Computer Science, Physics, Quantitative Biology, or related fields.
    • Proficiency in math and programming (Python or similar) for building and analyzing models and/or proving theorems.
    • Strong interest in independent research, critical thinking, and continual learning.
    • Excellent communication skills in spoken and written English.

    How to Apply

    Interested candidates should submit the following documents via the ‘Apply Now’ button:

    • A concise motivation letter (under 2 pages) detailing your interests in mathematical and algorithmic biology, preferred research directions, and how your qualifications align with the position.
    • Curriculum vitae highlighting education, work experience, and research outputs (papers, code, presentations, etc.).
    • A writing sample, either your thesis (Bachelor’s or Master’s) or a short research proposal specific to this position (under 2 pages). Upload the writing sample under the “Master thesis” tab in the online application.

     

     

  • Fields

    • Biology

    • Computer Science

    • Mathematics

    • Physics

  • Qualifications

    • Master

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