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PhD Candidate in Social Criteria Driven Absolute Environmental Sustainability Assessment

Luxembourg Institute of Science and Technology (LIST) • Luxembourg • Added on Oct 24, 2026
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This PhD position sits inside the C-SOS Doctoral Training Unit, where you will work on how to allocate planetary boundaries and carrying capacity in a way that is grounded in social foundation thresholds, not only in emissions or economic formulas. You will build and maintain a dynamic system model, test allocation scenarios for Luxembourg and comparable small territories, and publish peer reviewed work.

The angle is specific and current: connecting ecological ceilings with social floors as one interdependent system, drawing on Post-Growth, Sufficiency and Doughnut Economics. The findings are meant to inform real territorial decisions in a country with one of the world’s largest per capita environmental footprints, so the research has a direct policy and well-being dimension.

This suits someone who is fluent in quantitative environmental modelling (Python, MRIO, prospective LCA) and who wants to spend four years turning degrowth and sufficiency theory into tools that planners can actually use, within an interdisciplinary cohort of 12 doctoral researchers.

Job FAQs

What are the main missions and responsibilities of this role?

The core mission is to develop a methodological framework that couples ecological limits with a social foundation as a single interdependent system. In practice this means reviewing existing carrying capacity allocation and planetary boundary downscaling methods, covering economic and emission based allocation, sufficiency approaches and Doughnut Economics frameworks, then translating those into something operational. A large share of the work involves building and maintaining a dynamic system model that lets you test individual and combined allocation scenarios. You will apply the framework to Luxembourg and comparable small territories, using Green Deal technology targets, Decent Living Standards and provisioning systems to produce environmental ceiling estimates grounded in social thresholds. Alongside the modelling, the role includes publishing in peer reviewed journals, presenting at international conferences, and contributing to C-SOS training activities and stakeholder events. Collaboration with the other doctoral researchers, particularly those working on social foundation, Quality of Life and economic systems, is a stated expectation rather than an optional extra.

Key learning opportunities for this job

You would gain deep methodological skill in planetary boundary downscaling and carrying capacity allocation, an area where practical frameworks are still thin. That includes multiregional input output analysis, prospective LCA and scenario based sustainability modelling, plus Python development of modular research tools you would maintain over four years. Because the DTU spans LIST, the University of Luxembourg, LISER and STATEC, you would also pick up exposure to socio-economic policy analysis and statistics that a purely environmental doctorate would not offer. Working with 12 peers across social, economic and environmental sciences builds genuine interdisciplinary translation skill. The structured C-SOS training programme adds workshops, stakeholder engagement practice and scientific writing. Presenting at international conferences and publishing in peer reviewed journals would sharpen both your academic profile and your ability to communicate sustainability research to non-specialist audiences.

How does the ideal candidate look like (experience, skills)?

The formal baseline is a Master's degree in a quantitative discipline tied to environmental sustainability, such as industrial ecology, environmental or ecological economics, environmental engineering or computational social science. You should have a solid academic grounding in Planetary Boundaries, Doughnut Economics and Post-Growth or degrowth literature, and familiarity with Decent Living Standards and Quality of Life frameworks. On the technical side, proficiency in Python is required, together with comfort in multiregional input output analysis or comparable economy wide modelling, and statistical skills for large environmental and social datasets. Experience with dynamic system modelling, or a credible willingness to develop it quickly, matters, while prospective LCA or scenario based sustainability modelling is an asset rather than a prerequisite. The softer profile matters too: intellectual curiosity about the intersection of environmental science, economics and well-being, the ability to work independently inside a collaborative team, and strong scientific writing. Fluency in English is required, and French, German or Luxembourgish would help in a Greater Region context.

Advice to stand out and make a successful application

The posting is unusually explicit about what the committee will read, so treat the motivation letter as a research statement rather than a general cover letter. Explain how you would approach the question of coupling ecological limits with a social foundation, and reference specific allocation or downscaling methods you have used. Generic enthusiasm for sustainability will not distinguish you here. In the scientific CV, make your quantitative work visible: Python projects, MRIO or LCA experience, datasets handled, and any modelling code you have written or maintained. If you have read the degrowth, sufficiency and Doughnut Economics literature seriously, say which strands inform your thinking and where you see gaps the PhD could address. Prepare the two references in advance, since contact details are required at application. Also check the University of Luxembourg diploma recognition process and the B2 English certificate requirement early, as both can take time. Applications are reviewed continuously until the position is filled, so applying sooner rather than at an imagined deadline is sensible.

What aspects of the company's sustainability is this role likely to focus on?

The role sits squarely in absolute environmental sustainability assessment, which asks whether a territory operates within its fair share of planetary limits rather than merely reducing impact per unit of output. The focus is the methodological bridge between environmental ceilings and social floors, so that allocation of carrying capacity is not decided on emissions or economics alone. Luxembourg is the test case. Its per capita footprint ranks among the largest worldwide, and its prosperity depends on cross-border commuting, imported energy and land-use pressure, so the tension between well-being and ecological limits is concrete rather than theoretical. Applying the framework here, and to comparable small territories, connects the research directly to policy and territorial planning. Within LIST's SUSTAIN unit, the work feeds into broader themes of circular economy, decarbonisation transitions and sustainable innovation. The social dimension, meaning Decent Living Standards and Quality of Life thresholds, is treated as a condition of the environmental assessment, not a separate social pillar bolted on afterwards.

What are the main challenges someone in this role might face?

The hardest intellectual challenge is definitional: what counts as a social foundation, and how do you allocate carrying capacity on that basis without smuggling in arbitrary value judgements. The posting itself raises these as open research questions, which signals that the answers will be contested and that progress may be slow and iterative. Modelling brings its own friction. Building a dynamic system model that handles multiple allocation approaches across planetary boundary dimensions, and keeps social outcome generation per unit of environmental impact visible, is technically demanding. Data availability for small territories like Luxembourg may constrain what can be validated, and results will carry uncertainty that has to be communicated honestly. Working across a 12-person cohort spanning social, economic and environmental sciences also requires patience with different vocabularies and evidentiary standards. Add the fixed four-year timeline, publication pressure and the requirement to self-register and fund university enrolment fees, and the role rewards organisation as much as insight.

How could a typical day look like for someone in this position?

Much of the time would be spent at a desk in Belvaux, coding in Python, running model scenarios and reading across the degrowth, sufficiency and Doughnut Economics literature. A typical day might mix debugging or extending the dynamic system model with cleaning and analysing environmental and social datasets, then writing up methods or results for a paper or thesis chapter. Interactions would vary by phase. There would be regular exchanges with the LIST supervisor and the SUSTAIN unit, and periodic meetings with the wider C-SOS cohort, including the researchers working on social foundation and Quality of Life whose definitions your allocation work depends on. Some weeks would be dominated by training activities, workshops or stakeholder engagement events. Later stages would likely bring conference preparation, presentation rehearsal and revision cycles for peer reviewed submission. The rhythm is closer to doctoral research than to a corporate sustainability role: long stretches of independent work punctuated by collaborative checkpoints and external deadlines.

What are the opportunities for professional growth and development in this role?

The immediate outcome is a PhD awarded by the University of Luxembourg, which opens academic routes in sustainability science, ecological economics and industrial ecology. The methodological specialism, absolute environmental sustainability assessment, is a growing niche where demand currently exceeds the supply of trained researchers. Beyond academia, the skills transfer to policy analysis, statistical agencies and consultancies working on territorial sustainability targets. The consortium includes STATEC and LISER, so exposure to public sector and socio-economic research environments is built into the programme, and the stakeholder engagement component builds a network outside the university. Within the four years there is room to take on visible work: publishing in peer reviewed journals, presenting internationally, and contributing to a shared research agenda on how Luxembourg can operate within its fair share of planetary limits. Those outputs matter more than internal promotion in a doctoral context.

The main stakeholders you might be interacting with

The primary relationship is with the LIST supervisor, Dr. Enrico Benetto, and the Environmental Sustainability Assessment and Circularity unit, which sets the research environment and methodological standards. The University of Luxembourg handles doctoral enrolment and the doctoral school framework, so administrative and academic contacts there are constant. The C-SOS consortium is the second circle: fellow doctoral researchers, particularly those working on social foundation, Quality of Life and economic systems, plus researchers at LISER and STATEC. These are peer and near-peer collaborations where you negotiate shared definitions and contribute to a common agenda rather than receive instructions. Further out are the external audiences: academic reviewers and conference participants, and stakeholders in policy or territorial planning who attend C-SOS engagement events. The nature of those interactions is explanatory, translating model outputs into terms that non-modellers and decision makers can use.

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