
PhD student | Marie Skłodowska-Curie Doctoral Network Fellowship
‘Intersectionality and Stakeholder engagement in Advanced behavioural Data Analysis’ (36 hrs/week)
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The LABDA project
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.
What will you do
As a PhD student in the project ‘Intersectionality and Stakeholder engagement to improve the impact of Advanced Data Analysis for assessing 24/7 movement behaviours’, your challenge is to examine the applicability of various advanced analyses methods across various subgroups at the intersection of characteristics such as age, gender, ethnicity, and socio-economic position. For example, are algorithms developed on accelerometer data of highly educated white men also applicable to accelerometer data of adolescents with a migrant background attending secondary school? A second challenge is translating the results of these intersectionality analyses into input for the optimal design of the LABDA toolbox.
Your tasks
Your specific responsibilities will be to:
What do we expect
We are looking for an ambitious PhD candidate with the following requirements:
To be eligible, applicants need to fulfil the MSCA basic requirements:
Your working environment
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). Working at Amsterdam UMC means working in an inspiring and professional environment in which developing one`s talents and skills is encouraged. We offer ample opportunity for development, deepening and broadening, additional training, and a place to grow! For more information see www.jeugdengezondheid.org.
As part of the project, you will go on secondments, described in the training section of this website to:
What we offer
In addition, we offer:
Employement conditions
Further information
For more information about the research group and working environment, you can visit the following websites:
How to Apply?
- Read the whole text about the vacancy and prepare your CV and motivation letter accordingly.
- We are taking the motivation letter very seriously. In the letter, try to impress us with the relevancy of your education and professional experience (if any) to the position. Moreover, we appreciate it if you could write about what and how you can contribute to the project.
- Send your CV and motivation letter to labda@amsterdamumc.nl with the subject "Ph.D. Application for position 10."