Research Associate for AI-Enhanced Sustainability Assessment

We are seeking a highly motivated researcher to join our multidisciplinary team and contribute to the design, development, and deployment of computational solutions for dynamic life-cycle assessment (LCA), greenhouse gas (GHG) monitoring, and multi-criteria analysis.

You will work on the EU-funded STREAMSTEP and CRONUS projects, both of which focus on enhancing industrial process resilience and sustainability while advancing climate neutrality. STREAMSTEP aims to optimise thermal energy management in industrial processes, whereas CRONUS is dedicated to supporting the decarbonisation of the EU economy in alignment with the European Green Deal goals through carbon capture, utilisation, and storage (CCUS) techniques within the biofuels production line.

This role offers the opportunity to engage across diverse industrial contexts, with a strong emphasis on leveraging data to evaluate material- and process-level innovations that enhance competitiveness, reliability, and sustainability in industry.

You will design robust data-driven tools for dynamic LCA and GHG monitoring. This entails gathering, preprocessing, and analysing large datasets (historical, real-time, simulation outputs) to support modeling activities. You will be implementing solutions in open-source LCA platforms (., Brightway), ensuring their seamless integration with existing and newly developed digital twin solutions and data streams. Eventually, these data-oriented tools will be utilized to assess the impacts of technology advancements, process reconfiguration, regulatory changes, and other external factors on the environmental performance of industrial processes. These assessments will be part of multi-criteria analyses that guide decision making in complex problems.