Connectionists: PhD Vacancy in the Netherlands: interpretable causal machine learning for intervention development from wearable sensors

[Baratchi, M. (Mitra)]

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.

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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.

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Deadline 15 July

For information visit:
<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>
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PhD Cand., Interpretable causal machine learning for intervention development from wearable sensor<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>
universiteitleiden.nl<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>

Regards,
Mitra

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Mitra Baratchi | Assistant professor | Leiden Institute of Advanced Computer Science | Leiden University
m.baratchi at liacs.leidenuniv.nl<mailto:m.baratchi at liacs.leidenuniv.nl> | www.mitrabaratchi.com<http://www.mitrabaratchi.com/>
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