Multi-criteria impact assessment modeling of multi-resource harvesting technologies
Listed on 2026-03-12
-
Engineering
Research Scientist -
Research/Development
Research Scientist, Data Scientist
Location: Germany
Environmental science » Natural resources management
Environmental science » Water science
Computer science » Modelling tools
Organisation/Company Hamburg University of Technology (TUHH) Research Field Environmental science » Natural resources management Environmental science » Water science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 30 Apr 2026 - 17:00 (Europe/Paris) Country Germany Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme?
Horizon Europe - MSCA Marie Curie Grant Agreement Number Is the Job related to staff position within a Research Infrastructure? No
- Position Overview
PhD
Position Title:
Dynamic and multi-criteria impact assessment modeling of multi-resource harvesting technologies.
Doctoral Candidate (DC) Number: 19
Work Package Number: 6
Research Field(s) (EURAXESS classification): Environmental Engineering, Water science;
Programming and Modelling
Department / Research Group: Institute for Circular Resource Engineering and Management/ Process Engineering
Country: Germany
Research activities Start Date (expected): September 1st 2026
Duration: 36 months
Working Hours: 39 hours per week
Mining Brines ( M ultidisciplinary I ntegration and N etworking for IN creased sustainability and multi-resources valorization of G eothermal Brines ) offers an innovative doctoral training program to address Europe's strategic need for sustainable access to critical raw materials (CRM), energy gases (EG) and renewable energies.
19 Doctoral Candidates (DCs) will receive interdisciplinary training in geosciences (Work Packages 2 and
3), biogeochemistry (Work Package
4), artificial intelligence (AI) (Work Package
5), and socio-economic analysis (Work Package
6), equipping them with advanced skills in reservoir modeling, machine learning, advanced oxidation processes (AOP), and microbial enhanced recovery. DCs will also develop intuitive fluid chemistry modeling workflows and innovative multi-criteria intelligent decision support tools, preparing them to drive innovation in geothermal brine mining while collaborating with academic and industrial partners on practical solutions.
Mining Brines introduces novel techniques to maximize geothermal multi-resource recovery while minimizing environmental impact. Key innovations include microbial-driven CRM recovery, customized AOP workflows, scalable AI models, and decision support tools that consider technological, economic, and societal aspects. These advances aim to reduce the environmental footprint of resource extraction and align with the sustainability goals of the EU Green Deal.
Mining Brines supports the EU's Critical Raw Materials Act by combining CRM and EG recovery with renewable energy production and circular economy principles, reducing Europe's import dependency and strengthening resilience. In addition, Mining Brines emphasizes collaborative education to meet the growing demand for skilled professionals capable of transforming geothermal multi-resources into a key driver of Europe's green transition.
The impact of Mining Brines goes beyond scientific advances, fostering a skilled workforce for academic and industrial sectors, while establishing Europe as a global leader in sustainable resource management.
Mining Brines promotes public awareness of the multiple benefits of geothermal energy, setting a standard for green industrial practices and long-term strategic autonomy.
- DC19 Research Project Description
Objectives
This PhD project aims to develop dynamic and multi-criteria impact assessment models for geothermal multi-resource extraction within the framework of the EU-funded Mining Brines programme. The central objective is to evaluate the environmental, economic, and societal implications of simultaneously extracting geothermal energy, dissolved gases, and critical minerals from deep brine systems.
A key goal is to move beyond conventional static life cycle assessment approaches by establishing dynamic modelling frameworks that account for evolving boundary…
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