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PhD position in “Economic Life Cycle Costing and Life Cycle Sustainability Assessment of Hydropower”
the early development stages of technologies to inform and influence the design processes. By means of economic life cycle costing analysis (LCC) you will determine capital expenditures (CAPEX
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context of the Eastern Netherlands, with the aim to aid resilience assessments. You will be able to build on literature about value assessment and valuation techniques from social, economic, and
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quality and aquatic biodiversity as well as the contribution of the technologies to circular economy. Finally, you can compare the environmental performance of the innovations developed in the project
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. The interdisciplinary research team (consisting of 4 PhDs, 3 Postdocs and their supervisors) will combine engineering, ecological and socio-economic experiments and models to quantify and predict future salt marsh
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characteristics, and socio-economic developments exacerbates drought risks. A key challenge for the region, therefore, is how to become more drought resilient – now and in the future. But what constitutes drought
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. green hydrogen, needs to economically compete with the conventional production methods. To this end, you will explore the optimization of hydrogen production through alkaline electrolysis in a larger
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allows us to provide better support for decision-making processes at both the National and hospital level. The overarching objective of the project The project aims to investigate the health economic, but
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7 May 2024 Job Information Organisation/Company University of Twente (UT) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 9 Jun 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job...
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models. This will facilitate improved access to investment and credit, thereby promoting fair and sustainable economic growth. You will be a member of the MSCA Industrial Doctoral Network on Digital
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experience in Business, Economics, Engineering, Information Technology, Computational Science or related fields; A strong passion and outstanding skills in data science and experience working with programming