Doctoral Researcher in Food Literacy and Sustainable Behaviour
A 3-year PhD position investigating food democracy and sustainable food-system transitions in Luxembourg.
Best for:Best for social science graduates with strong qualitative research skills and an interest in food studies and sustainability transitions.
Overview
The University of Luxembourg is seeking a doctoral researcher to join the PALATE project within the Faculty of Humanities, Education and Social Sciences. This research initiative explores how participatory governance and multi-stakeholder collaboration can drive sustainable food-system transformations. The successful candidate will employ qualitative and mixed-methods research to examine food literacy, behavioural change, and food sovereignty. The role involves contributing to policy briefs, stakeholder workshops, and academic publications while participating in the university's doctoral programme.
What you'll do
- Conduct original doctoral research leading to a PhD degree.
- Perform literature reviews on food literacy, sustainable consumption, and behavioural change.
- Design and implement qualitative and mixed-methods research studies.
- Execute fieldwork including interviews, focus groups, participant observation, and surveys.
- Analyse both qualitative and quantitative datasets.
- Facilitate stakeholder workshops and co-creation activities.
- Publish scientific findings in peer-reviewed journals.
- Contribute to project reports, policy briefs, and dissemination activities.
Requirements
Degree required: Master's degree in Sociology, Cultural Anthropology, Political Sciences, History, or Geography with a focus on food studies.
Degree offered: PhD
Language: Excellent command of English; B2-level proficiency in the language of the thesis.
Instruction: English
- Excellent command of English.
- Proven experience in research project management.
- In-depth knowledge of Luxembourg's foodscape and socio-economic context.
- Strong proficiency in qualitative research methods such as ethnography and focus groups.
- Competence in descriptive statistics and quantitative data analysis.
- Must hold a Master's degree in a relevant social science discipline.
- Must demonstrate B2-level proficiency in the language of the thesis.
Funding & terms
How to apply
Applications must be submitted formally through the university's online HR system. Please include a CV, a cover letter detailing your motivation and alignment with the project, and academic transcripts. Applications sent via email will not be considered.
- CV
- Cover letter
- Academic transcripts
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