Ph.D. Position in Energy Economics and Prospective Modeling (M/F)

Laboratoire d'économie appliquée de Grenoble

GRENOBLE • Isère

  • FTC PhD student / Offer for thesis
  • 36 month
  • Doctorate

This offer is available in English version

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

Laboratoire d'économie appliquée de Grenoble

Contract Type

FTC PhD student / Offer for thesis

Working hHours

Full Time

Workplace

38040 GRENOBLE

Contract Duration

36 month

Date of Hire

01/10/2026

Remuneration

2300 € gross monthly

Apply Application Deadline : 30 June 2026 23:59

Job Description

Thesis Subject

Depending on the policy levers employed, strategies to achieve carbon neutrality will have impacts that may vary in terms of material content and health co-benefits. For example, promoting a modal shift toward active mobility can generate significant health benefits while reducing the need for equipment and infrastructure. Based on this observation, this project proposes a forward-looking approach to evaluate public carbon neutrality policies by expanding the analysis beyond mere climate-cost indicators, in order to integrate two key, interrelated impacts: the industrial and material constraints of the transition and its health co-benefits. The project thus relies on the POLES global energy-economy model (global consistency, detailed description of technological choices) coupled with MATER, a DMFA model generator based on an LCA approach, to dynamically represent technology stocks and flows, industrial capacity and infrastructure needs, and material demands. This component enables the assessment, for French trajectories (SNBC, ADEME scenarios) placed within their global context, of potential strains on industrial chains (peaks in material/capacity demand, sensitivities to assumptions regarding recycling/efficiency/conservation). At the same time, the health co-benefits of decarbonization (air quality and active mobility) are quantified and monetized based on emissions and their effects on exposure (air-health chain using GAINS/CHIMERE), then internalized in POLES so that they influence technology trade-offs and enable the exploration of French pathways that maximize health gains under climate constraints. The thesis will deliver a scalable tool (POLES–MATER, “climate-air-health” module) capable of producing scenario-dependent prospective LCAs, as well as indicators that can be used to compare and inform public policy.

Profile and Skills
• Master's degree in economics applied to the energy sector
• Strong background in energy economics and prospective modeling
• Proficiency in programming using R, Python, and Vensim
• Interest in interdisciplinary research, energy issues, and climate policy

Documents to submit with your application:
• A cover letter describing your interest in the position and your qualifications
• A resume

Your Work Environment

This doctoral dissertation will be supervised by Sandrine Mathy (GAEL, CNRS Research Director in Energy Economics).

Constraints and risks

Compliance with BATEG's mandatory closures (mandatory annual leave during these periods).

Compensation and benefits

Compensation

2300 € gross monthly

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

Offer reference UMR5313-SANMAT-021
CN Section(s) / Research Area Economics and management
Relevant experience 1 to 4 years

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions

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Ph.D. Position in Energy Economics and Prospective Modeling (M/F)

FTC PhD student / Offer for thesis • 36 month • Doctorate • GRENOBLE

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