PhD Position Multivariate Dependence Modelling and Statistical Machine Learning Algorithms for Patient Risk Profiling – Delft University of Technology (TU Delft) – Delft

  • Delft

Delft University of Technology (TU Delft)

The Applied Probability research group within the Delft Institute of Applied Mathematics at TU Delft (see ) is offering a full-time PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling.

In partnership with RECENTRE (see ), a project dedicated to helping people take charge of their health, we’re working on mathematical approaches to quantify health-related risks. As a PhD researcher, you’ll be at the forefront of this exciting journey, focusing on multivariate dependence models and statistical machine learning algorithms at its core to create personalized individual risk profiles. Along with developing novel methods and investigating their theoretical properties, you will also apply your methods and validate them using the latest available datasets.

The project will be co-supervised by Özge Şahin and Tina Nane in Applied Probability from TU Delft and Annemieke Witteveen in Biomedical Signals and Systems from the University of Twente.

Besides carrying out mathematical research and working on scientific articles, you will be expected to actively participate in seminars and discussions with colleagues from the department, as well as to present the findings at (inter)national conferences or workshops. Furthermore, you are supposed to carry out minor teaching tasks (at most 15% of the contract time). Teaching in English will be possible. Communication will be in English. If desired, there is the opportunity to attend Dutch language courses offered by the Language Center for Languages and Academic Skills at TU Delft, see .


  • 36—40 hours per week
  • €2770—€3539 per month
  • Delft
  • Delft University of Technology (TU Delft)


    About You:

  • Curious Learner: You’re eager to learn and explore, holding a Master’s degree (MSc) in Statistics, Applied Mathematics, or a related field. You’re passionate about using statistical, probabilistic, and mathematical principles to solve real-world problems in healthcare. While prior experience with copula methods is not required, it is a plus. A willingness to learn and apply new techniques in healthcare research is highly valued
  • Analytical Thinker: With a strong background in statistics, probability theory, and mathematics, you excel at analyzing complex datasets to derive meaningful insights.
  • Tech-Savvy: You’re comfortable navigating through datasets, especially in healthcare, using your technical skills. You are proficient in programming languages in R or Python.
  • Collaborative Team Player: You engage with stakeholders across academia, healthcare, and industry, fostering inclusive partnerships to drive innovation in healthcare.
  • Female candidates are strongly encouraged to apply for this position. 

    Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the .

    Conditions of employment

    Fixed-term contract: 4 years.

    Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

    Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

    The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. 

    For international applicants, TU Delft has the . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a for partners and they organise events to expand your (social) network.


    Delft University of Technology

    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 and we actively 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.

    Challenge. Change. Impact!


    Faculty Electrical Engineering, Mathematics and Computer Science

    The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

    Click to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

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