 
        
        Overview
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
Responsibilities
 * Develop and apply optimization and simulation models to assess the role of renewable energy technologies in Sisslerfeld
 * Quantify and evaluate sufficiency measures (SMs), their suitability, and their potential to reduce energy demand and emissions in peri-urban areas
 * Integrate SMs with renewable local energy community and sustainable mobility planning to assess their contribution to accelerating climate neutrality
 * Translate research findings into policy and governance recommendations that enable the implementation of sufficiency measures across sectors (e.g., residential, business, industrial, and mobility), supporting climate neutrality and wellbeing
 * Develop transferable analytical frameworks and methods that can be applied to other periASTY partner cities and urban contexts
 * Collaborate within an interdisciplinary, international consortium, contributing to scientific publications, project deliverables, and stakeholder engagement activities
Qualifications
 * PhD in energy systems, sustainability science, engineering, socioeconomics (with a focus on energy), or a related field
 * Strong background in quantitative modeling and simulation, preferably with experience in energy system optimization (e.g., OSeMOSYS, TIMES, MESSAGE, or similar frameworks)
 * Good understanding of sufficiency concepts, socio-technical transitions, or sustainability policy, and enthusiasm for integrating social and ecological dimensions into energy research
 * Passion for and demonstrated interest in issues of equity, justice, and well-being, with the ability to connect technical solutions to societal, governance, and environmental outcomes
 * Experience working with interdisciplinary teams and stakeholders; openness to combining qualitative and quantitative methods
 * Excellent communication skills (spoken and written English) and the ability to contribute to scientific publications, project deliverables, and international collaboration
#J-18808-Ljbffr