PhD: sustainability & circularity- decision support systems; industrial digital twins

Position: PhD: sustainability & circularity-based decision support systems (industrial digital twins)
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PhD: sustainability & circularity-based decision support systems (industrial digital twins)   The Faculty of Science, Institute of Environmental Sciences (CML) and the Faculty of Governance and Global Affairs, Leiden University College, are looking for a:

PhD Researcher on sustainability and circularity-based decision support systems for industrial digital twins
Vacancy number: 15044
Join an exciting Horizon Europe project called Lasers4

MaaS, which will deliver a digital platform to enable manufacturers to make more sustainable and cost-effective products on demand.

Key responsibilities
Future sustainable factories for manufacturing-as-a-service require the connection of information systems to enable the exchange of data from operations to sustainability-based decision support. As a PhD candidate in this project, you will have the opportunity to develop Decision Support Systems (DSS) and harmonize data collection protocols for sustainability and circularity assessment. These will be integrated into a manufacturing digital twin of laser technologies as a service, streamlining decision support for industrial operations.
You will contribute to the sustainability and digital transformation of several manufacturing industries, and you will be working on:
Establishing data exchange protocols with data providers in the sectors of automotive, nuclear fusion, packaging, aerospace and hydrogen.
Developing scalable and standardized data exchange protocols enabling the use of Digital Product Passports  and Life Cycle Assessment.
Developing DSS for performance, sustainability, circularity and cost information to be integrated into a digital twin of Lasers4

Maas operations.
Identifying with project partners sustainability and circularity alternatives to be integrated into the DSS.
What you bring
This position is a good fit for you if you recognise yourself in the following:
You hold a master's degree in one these fields:  computer science, information science, industrial ecology, operational research, environmental process engineering, environmental sciences, or another related field.

You have expertise in one or more of these areas:  Data management and programming (e.g., Python).
Life Cycle Assessment (LCA).
Multiple Criteria Decision Analysis (MCDA).

In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas.
You have recorded experience in planning and executing research tasks.
You have excellent social and communication skills and the ability to collaborate with other researchers, industry and policy actors.
You have excellent English language skills in writing and speaking.

The Institute of Environmental Sciences CML at the Faculty of Science
CML is a global leader in the field of sustainability assessment, especially Life Cycle Assessment, Material Flow Analysis and Environmental Input-Output Analysis. It offers a vibrant and supportive community of scientists committed to the challenges of sustainability, with a multidecade record of leading the field of industrial ecology in Life Cycle Assessment, Material Flow Analysis and Environmental Input-Output Analysis. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists.

As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying academic freedom across all career levels.
CML is part of the Faculty of Science, which is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future.

The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. For more information about the Science Faculty, .
The DESIRE laboratory at Leiden University College, Faculty of Governance and Global Affairs
The DESIRE Laboratory is a key player in the development of Decision Support Systems (DSS) with Multiple Criteria Decision Analysis/Aiding (MCDA). It (i) provides state-of-the-art, adaptable and transparent strategies to formulate, model and support better decision-making, (ii) develops and applies decision support tools to tackle sustainability and resilience-related challenges, and (iii) trains future decision engineers to tackle complex decision-making.
The DESIRE Laboratory is part of…