Front end ui designer for eu data act project Vacatures in Liege

Previous studies identified the living environment as potential protective factor for an individual’s health and well-being trajectory. However, e ven though it impacts the individual’s quality of life, a predictive model of the impact of housing typology on the loss of autonomy and changes in health status, especially in seniors, is still missing. By reflecting a major environmental and putatively modifiable factor, the living environment has the potential to interact with intrinsic biological and psycho-social predispositions of the individual. Both physical activity and a consolidated sleep-wake cycle are amongst those variables, that may depend on the individual’s-built environment and hallmarked by increasing difficulties occurring when growing in age.

The HABITAGE project aims at assessing the association and potential predictive value of the home environment on physical activity and sleep change over time, these two factors being strong predictors of the individual’s autonomy trajectory. To do so, the built environment of a cohort of older adults (aged 75 and over) will be characterized and the impact of the later on quantitative (e.g. actimetry-derived physical and rest-activity distribution) and qualitative (questionnaire-based; interview-based) outcomes will be examined. The project should allow to refine these variables as potential main drivers for quality of life and autonomy. The latter reflects a major determinant for institutionalization and is thereby of important societal relevance. The project will capitalize on the expertise of four partners (see below) pertaining to different fields which will be used and centered around the built environment. The candidate will participate to all the steps of the project. He / she will use a variety of approaches including actigraphy, questionnaires, and neuropsychological testing and work in an interdisciplinary environment and in direct interaction with the study participants.

Candidates with a MSc in any disciplines related to the topics of the call can apply (medicine, motor sciences, cognitive neurosciences, psychology, biomedical engineering, biostatistics etc.). Skills and experience in one or more of the following topics are considered as strength : coding abilities to contribute to the construction of the database and associated analysis pipelines (pre-processing and statistics), previous experience in the analysis of actigraphy data or similar time series data, experience in clinical or research practices in the field of geronto- psychology or associated domains. Considering that the candidate will be implicated in data acquisition, mastery of French is a serious asset.

Supervisors . The work will be mainly supervised by Prof. O. Bruyère at the Department of Public Health of the Faculty of Medicine and Dr. Christina Schmidt at the Sleep & Chronobiology laboratory (GIGA-CRC-IVI, Faculty of Psychology) in collaboration with the 2 other partners of the project.

Project start : January 2024