LABDA (Learning Network for Advanced Behavioural Data Analysis) is an EU-funded MSCA Doctoral Network, that brings together leading researchers in advanced movement behaviour data analysis at the intersection of data science, method development, epidemiology, public health, and wearable technology to train a new generation of creative and innovative public health researchers via training-through-research. The main aims of LABDA are to establish novel methods for advanced 24/7 movement behaviour data analysis of sensor-based data, examine the added value of advanced behavioural data analysis and multi-modal data for predicting health risk and facilitate the use and interpretability of the advanced methods for application in science, policy and society. Via training-through-research projects, 13 doctoral fellows will contribute to reaching these aims. Together, they will develop a joint taxonomy to enable interoperability and data harmonisation. Results will be combined in an open-source LABDA toolbox of advanced analysis methods, including a decision tree to guide researchers and other users to the optimal method for their (research) question. The open-source toolbox of advanced analysis methods will lead to optimised, tailored public health recommendations and improved personal wearable feedback concerning 24/7 movement behaviour. For more information, see the project’s website: LABDA project
As a PhD student in the project ‘Temporal data analysis of 24/7 human movement behaviour and value for health’ your challenge is to develop methods for temporal analysis of human behaviour amongst others compare temporal analysis techniques in their ability to detect change points in behaviour; explore data-driven techniques to identify subgroups with similar temporal behaviour patterns; and assess complementary, discriminatory and predictive value of temporal data analysis techniques beyond volume-based analyses.
Your specific responsibilities will be to:
We are looking for an ambitious PhD candidate with the following requirements:
To be eligible, applicants need to fulfil the MSCA basic requirements:
Fellows will also benefit from a living allowance, a mobility allowance and a family allowance (if already married). The mobility and family allowances are fixed amounts, regardless of the country of recruitment, and may be taxable depending on the country in which the researcher is recruited. Successful applicants are eligible for parental leave in keeping with Amsterdam UMC standard employment policy.
For Dutch citizens it is mandatory to provide a VOG (a declaration of good behaviour).
If you don’t have the nationality of an EU/EEA country or Switzerland, you need a residence permit in the Netherlands. We will help you with the application for this. You can find information on the general conditions here: general conditions.
For more information about our employment conditions, please visit our website.
You will be hosted at the Amsterdam UMC, location VUmc, Department of Public and Occupational Health, in the research group Child and Adolescent Public health Research and Innovation (led by Prof. Dr. Mai Chin A Paw).
For more information see Jeugd en gezondheid
As part of the project you will go on secondments to:
Working at Amsterdam UMC means working in an inspiring and professional environment in which developing one`s talents and skills is encouraged. We offer you ample opportunity for development, deepening and broadening, additional training and a place to grow!
For more information about the research team and working environment, you can visit the following websites:
For more information about this position, you can contact prof. dr. Mai Chin A Paw via firstname.lastname@example.org
For more information about the application procedure, you can contact Chey Edwards, corporate recruiter, via email@example.com or via: 06-21487245.
A reference check and screening may be part of the procedure. Read here what this entails. If you come to work for us, we ask for a VOG (Certificate of Good Conduct).
Acquisition in response to this vacancy is not appreciated.