The Faculty of Science Leiden University and the Leiden Institute of Advanced 
Computer Science (LIACS) are looking for a (Important: please check the 
selection criteria before applying):

PhD Candidate, Interpretable causal machine learning for intervention 
development from wearable sensors data


We are looking for an excellent candidate with a master’s degree in MSc in 
Artificial Intelligence, Computer Science, Mathematics, Statistics, or a 
closely related field to join a project focused on
developing an advanced transparent machine learning framework with application 
on movement behavioural analysis.

Smartwatches and other wearable technologies allow us to continuously collect 
data on our daily movement behaviour patterns. We would like to understand how 
machine learning techniques can be used to learn causal effects from 
time-series data to identify and recommend effective changes in daily 
activities (i.e., possible behavioural interventions) that are expected to 
result in concrete health improvements (e.g., improving cardiorespiratory 
fitness). This research, at the intersection of machine learning and causality, 
aims to develop algorithms for finding causal relations between behavioural 
indicators learned from the time series data and associated health-outcomes.

This project is defined within the LABDA (Learning Network for Advanced 
Behavioural Data Analysis) European project: LABDA is an EU-funded Marie 
Sklodowska Curie Action (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.

__________

Selection Criteria

All applicants need to fulfill the MSCA basic requirements (applications that 
do not meet these requirements will not be reviewed):

●    PhD candidate: all researchers recruited in a Doctoral Network must be PhD 
candidates, i.e., not already in possession of a PhD degree at the date of the 
recruitment;
●    Mobility Rule: doctoral candidates must not have resided or carried out 
their main activity (work, studies, etc.) in the Netherlands for more than 12 
months in the 3 years immediately before the recruitment date. Compulsory 
national service, short stays such as holidays, and time spent as part of a 
procedure for obtaining refugee status under the Geneva Convention are not 
taken into account.

________
Deadline 15 July

For more information visit: 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.universiteitleiden.nl%2Fen%2Fvacancies%2F2023%2Fq2-english%2F23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor&data=05%7C01%7Cuai%40engr.orst.edu%7Cc8ed08b9c992419713a808db76134119%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638233597292335319%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=N0oSH0Wejkw4oRzMt%2Bb6FJ%2Btdm94a9bm67esS8Pro0E%3D&reserved=0

Regards,
Mitra

_____
Mitra Baratchi | Assistant professor | Leiden Institute of Advanced Computer 
Science | Leiden University
m.barat...@liacs.leidenuniv.nl<mailto:m.barat...@liacs.leidenuniv.nl> | 
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