PhD Position Multivariate Dependence Modelling and Statistical Machine Learning Algorithms for Patient Risk Profiling

Updated: about 1 month ago
Deadline: 23 Jun 2024

15 May 2024
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Technology
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

23 Jun 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Applied Probability research group within the Delft Institute of Applied Mathematics at TU Delft (see https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathema… ) 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 https://www.4tu.nl/recentre/ ), 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 https://www.tudelft.nl/en/tpm/itav/education/dutch-courses .


Requirements
Specific Requirements

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 Graduate Schools Admission Requirements .


Additional Information
Benefits

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 Coming to Delft Service . 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 Dual Career Programme for partners and they organise events to expand your (social) network.


Selection process

Interested in this opportunity? To apply, click the application button and submit the following documents:

  • Cover letter outlining your background and the motivation to pursue the PhD project (max. 1 page).
  • A comprehesive Curriculum Vitae.
  • Contact information of at least one academic referee.
  • Transcripts and Master Degree / Diploma (if already available).
  • Copy of Master thesis (or writing sample).
  • The position will remain open until June 23, and applications will be reviewed biweekly. The aim is to plan the interviews before the summer holidays (so until July 15th).

    • A pre-employment screening can be part of the selection procedure.
    • You can apply online. We will not process applications sent by email and/or post.
    • Please do not contact us for unsolicited services.

    Additional comments

    For more information about this vacancy, please get in touch with Özge Şahin: [email protected] .


    Website for additional job details

    https://www.academictransfer.com/341544/

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Delft University of Technology
    Country
    Netherlands
    City
    Delft
    Postal Code
    2628 CD
    Street
    Mekelweg 2
    Geofield


    Where to apply
    Website

    https://www.academictransfer.com/en/341544/phd-position-multivariate-dependence…

    Contact
    City

    Delft
    Website

    http://www.tudelft.nl/
    Street

    Mekelweg 2
    Postal Code

    2628 CD

    STATUS: EXPIRED

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