Fully Funded Phd Researcher in Neighborhoods and

il y a 2 semaines

EschsurAlzette, Esch-sur-Alzette, Luxembourg LISER Temps plein

_Campus Belval, 11, Porte des Sciences, L Esch-Sur-Alzette, Luxembourg_

_ _

The Luxembourg Institute of Socio-Economic Research (LISER)

is recruiting a

Fully Funded PhD Researcher in Neighborhoods and Health (f/m/d)
- Ref: 23-08
-
Fixed-term working contract for 36 months (extendable up to 48 months upon conditions), in the framework the 'FragMent' project
-
Full-time/40 hours per week
-
Work contract at LISER, Urban Development and Mobility Department (UDM)
-
Start date: September 1st, 2023 at the latest
-
EU research framework program: Horizon ERC Starting Grant


LISER invites highly qualified and motivated applicants for a PhD position in the Urban Development and Mobility Department (UDM), under a project funded by the European Union, through Horizon European Research Council (ERC) Starting Grant program.


About the FragMent project
Geographic environments, daily activities and stress: a study on the space-time fragmentation of exposure patterns.


Stress is nearly ubiquitous in everyday life, and act as a major risk factor of numerous mental and physical disorders.

The aim of the FragMent project is to evaluate to which extent the spatial and temporal fragmentation of exposures to environments in daily life influences physiological and psychological stress, as well as social inequalities in stress.

Engaging in daily activities translates into travelling to and staying within a variety of environments over a day. Exposures to daily environments may either act as a contributor to stress or provide some restorative qualities. For example, while greener environments reduce stress, higher built-up density and proximity to traffic do the reverse. Yet, the combination of these momentary effects on stress over a day have so far been largely ignored.

This project builds on a corpus of evidence from neighborhood effect in epidemiology, and creates a bridge with the concept of activity fragmentation from Time Geography, to investigate the determinants of momentary, daily and chronic stress.


Your Role


Leading the research effort on the identification of vocal biomarkers of stress and examine the effects of the urban environments and exposure patterns on momentary and daily stress.


This sub-project in FragMent aims to assess the impact of urban environment, exposure patterns and activity patterns on momentary, daily and chronic stress in daily life.

We will rely on an observational cross-sectional study collecting information on both self-reported psychological stress measurements and physiological measurements based on vocal biomarkers of stress.

Using map-based questionnaires, this study will collect information of individual's regular mobility and activity patterns, to be correlated with chronic stress.

In addition, we will make use of Geographically explicit Ecological Momentary Assessment combining GPS data with repeated assessment of participants' momentary stress, activity patterns, and environmental perceptions over 15 days, in order to accurately capture participants' activity space.


Supervision team
Dr.

Camille Perchoux is a research associate at the Luxembourg Institute of Socio-Economic Research (LISER), department of Urban Development and Mobility (UDM).

She is a health geographer with a background in geography and a PhD in Public Health Epidemiology awarded in 2015 from Sorbonne University and the University of Montreal.

Her research interests include the assessment of neighborhood effect on health at refined spatial and temporal scales, social and spatial inequalities in health, and longitudinal effects of environments on health.

Her research involves the use interdisciplinary concepts, methods and tools from epidemiology, geography and transportation research including map-based questionnaires, GPS, (bio)sensors, mobile surveys and virtual reality technology.

She is the Principal Investigator of the FragMent project.

Dr.

Guy Fagherazzi was appointed Research Leader of the "Deep Digital Phenotyping" Research Unit, a new strategic position at LIH's Department of Population Health.

He is a senior research scientist in digital epidemiology with a strong expertise in diabetes as well as in the analysis of large population-based studies using Artificial Intelligence (AI) methods.

First trained in Mathematics, he has obtained a double Master Degree in Statistics and in Epidemiology.

He has started to work on diabetes epidemiology during his PhD on large French and pan-European population based cohort studies.

During his postdoctoral period, he has spent two research stays as a Visiting Scientist and initiated a collaboration still ongoing with the Diabetes and Population Health unit at the Baker Heart and Diabetes Institute in Melbourne.

He is the Principal Investigator of the World Diabetes Distress Study, a worldwide open research initiative on the use of social media data and artificial intelligence (AI) me

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