Job PositionPhD PositionThe Centre for Demographic Studies (CED) and Department of Sociology from Autonomous University of Barcelona (UAB) are looking for an outstanding PhD researcher to join the ERC Consolidator Grant project DIGINEQ – "Digital Time Use, Adolescent Well-Being, and Social Inequalities" (PI: Prof. Pablo Gracia).You will write a cutting-edge PhD thesis in the social sciences.Working together with the PI, postdocs, and other PhDs from DIGINEQ, you will contribute to at least one of these key areas:The role of digital media engagement and mobile phone use in shaping inequalities in youth outcomes (e.g., mental wellbeing, physical health, academic outcomes) in society, using advanced social science methodologies (i.e., advanced computational methods, digital social research).The role of digital interventions targeting schools, families and adolescents to promote healthy digital behaviours linked to youth positive well-being outcomes (e.g., mental health, affect, school performance) across demographic and socioeconomic groups, using advanced statistical computational methods and/or mixed-method designs combining in-depth qualitative and quantitative data.The impact of societal digital transformations on adolescent well-being and opportunities, employing advanced statistical modelling (e.g., longitudinal causal modelling, multilevel methods, difference-in-difference designs) and/or computational methods (e.g., machine learning, mobile-app methods, computational tracking data).You will join a leading research team in social sciences, and an excellent hub of population research (CED) and applied social science research (Sociology UAB).You will integrate within a vibrant international network of top interdisciplinary collaborators and partners on areas like youth well-being and mental health, inequalities and social stratification, population and demography, digital media, computational methods, digital social sciences, social psychology, and education.On top of an annual gross salary of €27,600, you will get generous travel, conference and training support (€2,500 per year).Person SpecificationEssential:BA or MA/MSc in relevant discipline/s for the call (e.g., sociology, population sciences, psychology, computational social sciences; HCI; media and communication; economics; education; social policy).Excellent academic record according to experience to date.Exceptional methodological skills in social science research design.Interest and strong potential to contribute to (at least one of) the key project areas.Strong expertise in analysing complex quantitative and computational data and/or rich qualitative data.Proficiency or skills to learn a statistical software (e.g., R, Stata, Python).Interest in contributing to primary data collection with families, educators, and adolescents.Willingness to keep learning and innovating theoretically and empirically.Excellent written and verbal communication skills in English.Ambition and ability to produce and publish top research in social sciences.Ability to effectively conduct research independently.Ability to work proactively as part of a team.Desirable:Experience in leading primary data collection (e.g., with families, youth, schools).Leadership skills to arrange focus groups and data collection.Willingness to pursue future projects/grants in this field.Interest in narrative data with relevant software (e.g., Nvivo).Some knowledge of (or interest in learning) Spanish or Catalan.Benefits:€27,600 (yearly gross)Eligibility criteria:Academic/Research record: 40%Relevant research experience: 20%Interview performance: 40%All the candidates' merits will be evaluated according to their academic seniority (and considering any breaks that have occurred in their research career).The selection committee reserves the right to not fill this position if no suitable candidate is identified.Minimum score required to pass the selection process: 80Selection process:Interviews arranged online.
Details are provided to shortlisted applicants, arranged by the PI and selection committee panel.Application Procedure:Candidates must apply through the website.
Only applications that are submitted into this UAB system will be considered: https://seleccio.uab.cat/Please submit the following information to the indicated webpage:Motivation letter (2 pages max.
).CV (your preferred format and length).Two examples of academic research (written in English) showing the candidate's skills for the call.Contact details of 2 referees (references will only be requested from shortlisted candidates).Copy of your ID/Passport.Copy of highest academic degree achieved.
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