Your challenge

Your challenge is to develop segmentation models that describe how 24-hour movement behaviours are accumulated and alternated throughout the day. In addition you will optimise these segments for predicting multiple health outcomes.

Your specific responsibilities will be to:

  • Design and execute complex statistical analysis of device-derived data (e.g. accelerometers, inclinometers);
  • Build and test predictive models;
  • Collaborate with and support ongoing PhD projects on 24-hour movement behaviour data;
  • Write scientific publications;
  • Write grant proposals;
  • Contribute to education of BSc, MSC and PhD students in Health Science, Medicine and Human Movement Science.

Your profile

We are looking for an ambitious post-doctoral researcher with specific interest in complex statistical models. In addition, it is important that you have excellent communication skills and meet the following requirements:

  • Experience with complex statistical models (e.g. state-space models, time series analysis)
  • Experience with prediction (e.g. machine/statistical learning);
  • Proficient with statistical programming languages e.g. in R, MATLAB;
  • Experience with data visualization (QlikView/Tableau);
  • Fluent in English.

Your work environment

The health effects of physical activity and sleep are well known. Sedentary behaviour (low energy expenditure in a sitting or reclined position) is recently identified as another potential independent risk factor. Accurate measurement of the complete 24-hour movement behaviour pattern is essential for monitoring, identification of determinants and health effects, and evaluation of the effectiveness of behaviour change interventions. Recent developments in device-based measurement (wearable trackers) of 24-hour movement behaviours demand sophisticated data analysis.

This project is part of the research section Child Health and Care Research within the department of Public and Occupational Health and a collaboration with the department of Epidemiology and Biostatistics of VU University Medical Center. For more information see the website of Jeugd en Gezondheid and Amsterdam Public Health.

We offer

Salary Scale 10: 2826 tot 4481 euro gross when employed full-time (depending on qualifications and experience).

In addition we offer:
– Additional benefits include an 8.3% end-of-year bonus and 8% holiday pay.
– Your pension premium will be paid by us for 2/3.
– We reimburse 75% of your OV travel costs (commuting costs).

The position is for one year with potential for extension.

For more information about our employment conditions, please visit our website.
For Dutch citizens it is mandatory to provide a VOG (a declaration of good behaviour).

Additional information

The preferred starting date of this position is as soon as possible.


Don’t hesitate to call us!
If you’re interested about this position, you can contact Prof. dr. Mai Chin A Paw, via telephone number 020-4448203.
If you need more information about the application procedure, contact Brend de Jong, corporate recruiter at 020-4445635.

You can apply till 13 August 2019 by using the apply button.

Acquisition based on this vacancy is not appreciated.