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Cardiologie Erasmus MC

PhD position in Biostatistics and Machine Learning

Stress in Action: Understanding the causal relationships between time-varying stress exposures and outcomes.
  • Closing date 07-05-2023
  • 11.21.23.TG
  • 36 hours
  • Research university
  • Research & Education

Questions? Contact our recruiter

  • Closing date 07-05-2023
  • 11.21.23.TG

Job description

The experience of stress is an inherent aspect of daily life. However, can we validly measure this, and how and under what circumstances does it contribute to disease? We at the Department of Biostatistics at the Erasmus University Medical Center Rotterdam are looking for a Ph.D. student to work with us on the ambitious Stress in Action project (more details about the project can be found here).

The NWO gravitation project Stress in Action capitalizes on fast technological advances and big data analytics to move stress research from the lab to daily life. You will be part of the data analytic support core (DASC) team. The DASC will develop a variety of big data analytics approaches. Specific analytical questions for DASC include: (1) How can we derive counterfactual predictions of stress outcomes with multiple time-varying stress exposures? (2) How can we assess the accuracy of counterfactual predictions?

More specifically, you will work on novel combinations of joint models for longitudinal and time-to-event data with machine learning techniques. The primary aim is to derive causal predictions to enable (clinical) decision-making. This position primarily focuses on research, but the Ph.D. student is also expected to assist in the teaching and consulting responsibilities of the department.

The supervisors for this project are Professor Dimitris Rizopoulos and Professor Ellen Hamaker.

Work environment

The Department of Biostatistics of Erasmus MC is well known for its innovative statistical research in analyzing complex data structures (longitudinal and survival data, correlated data, missing data, censored data, misclassification data, Bayesian techniques, and smoothing techniques).

Qualifications and skills

  • MSc degree (or finishing soon) in Statistics, Mathematics, Computer Science, or a related discipline.
  • Knowledge of mixed-effects or multilevel models, survival analysis, and machine-learning techniques.
  • Familiarity with Bayesian statistics Programming skills in R; familiarity with Python is also a plus.
  • Affinity and preferably experience with writing research papers.
  • Good social and communication skills and willingness to work with other team members.
  • Enthusiastic about translating scientific insights into practical guidelines and advice.

Before you apply please check our conditions for employment.

Terms of employment

  • You will receive a temporary position for 4 years starting September 1, 2023.
  • The gross monthly salary is € 2.789 ,- in the 1st year and increases to € 3.536,- in the 4th year (scale OIO). This is based on 36 hours per week.
  • Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
  • Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
  • Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

More information

For more information about this position, please contact Prof. dr. Dimitris Rizopoulos:

If you are interested in applying for this position, please provide the following documents:

  • Letter of motivation.
  • CV (including contact information for at least two academic references).
  • Transcripts from your bachelor's and master's degree.
  • An R script file showcasing your programming capabilities.

Applications will also be reviewed by Prof. dr. Ellen Hamaker of Utrecht University.

No agencies please.

Application proces

Step 1 - Apply

Did we get you excited about this position? Submit your application through the application button. You will receive a confirmation of receipt from our recruiter right away.

Step 2 - Selection

Based on your application, we check to see if there is a fit between us. We will let you know as soon as possible whether you are invited for an interview.

Step 3 - Job interview

You have been invited for an interview, great! In this first meeting we get to know each other and see if You can form an idea of the position, the department and Erasmus MC. If the interview goes well usually a second interview follows.

Step 4 - Offer and terms of employment

It’s a match! Your future manager will discuss your salary and employment with you. You will also receive more information about our other terms of employment.

Step 5 - Getting started

Your first working day has come! We are more than happy to have you. Your new department will give you a warm welcome and provide you with all the information you need. Enjoy your job at Erasmus MC!

Contact me

Jerry Chandansingh

Jerry Chandansingh
Erasmus MC

Pioneering, pushing boundaries and leading: in healthcare, education and research

Erasmus MC is an international leading academic hospital in Rotterdam. We are recognized as a world-class scientific research organization aiming to improve our understanding of diseases and disorders and helps to predict, treat and prevent them. We have access to the latest equipment and techniques. A working environment that gets the best out of people.

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