Postdoctoral Research opportunity - GRES at UQAT in southern Québec
Postdoctoral Research opportunity - GRES at UQAT in southern Québec
PhD-level research opportunities in groundwater recharge and low-flow modeling under climate change. A postdoc project uses physics-informed graph transformers and hydroclimate data to deliver probabilistic forecasts and uncertainty analyses for climate adaptation. Canada-based applicants welcomed.
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PhD Position on Finite Element Modelling of Backward Erosion Piping in Spatially Variable Soils
PhD Position on Finite Element Modelling of Backward Erosion Piping in Spatially Variable Soils
PhD position in Civil/Geotechnical Eng on Digital Dikes: RFEM-based modeling of backward erosion piping, stochastic groundwater flow and Monte Carlo risk assessment. Develop open-source tools and surrogate models for dike safety in a 4-year Netherlands project with industry and academia.
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Doctoral candidate (gn)
Doctoral candidate (gn)
PhD positions and research opportunities: Develop a high-resolution, process-based model for dissolved nutrient transport from tropical coastal landscapes to coastal waters. Assess climate variability, land-use change and extreme events on nutrient fluxes. 36 months, part-time; apply by 09.06.2026.
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PhD Position: Artificial Intelligence for the Built Environment (AI4BE)
PhD Position: Artificial Intelligence for the Built Environment (AI4BE)
PhD opportunities in AI for the Built Environment. An interdisciplinary doctoral program across Architecture, Civil Engineering, Business and Science to develop AI-driven solutions for energy efficiency, sustainable buildings, governance, interoperability, and resilient urban systems. Apply now.
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PhD Student in Building Materials
PhD Student in Building Materials
PhD Positions & Research Opportunities in Building Materials. Four-year, funded PhD on sustainable materials and cold synthesis via mechanochemistry for construction. Experimental work and modeling; English required. Start Jan 2027; apply by Aug 15, 2026.
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Marie Curie (MSCA) PhD scholarship in solar-driven hybrid methane production technologies for bio-electrochemical CO2 utilization - DTU Sustain
Marie Curie (MSCA) PhD scholarship in solar-driven hybrid methane production technologies for bio-electrochemical CO2 utilization - DTU Sustain
PhD Positions & Research Opportunities: funded PhD in sustainable photo-bio-electrochemical CO2-to-methane conversion. Interdisciplinary work on biogenic CO2 methanation, reactor design, analytics and process optimization. 3-year MSCA-funded opportunity; start Oct 2026.
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PhD Studentship - Material Recovery from End-of-life Photovoltaics
PhD Studentship - Material Recovery from End-of-life Photovoltaics
PhD Position in silicon PV module recycling and material recovery. Develop separation protocols (density, electrostatic, froth flotation) and characterization (XRD, XRF, IR/Raman) for end-of-life and new modules. Funded for UK-based students, 42 months; strong industry-academic collaboration.
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PhD Studentship: Investigating the blueprint for bio-inspired next generation sunscreens
PhD Studentship: Investigating the blueprint for bio-inspired next generation sunscreens
PhD Position: Develop bio-inspired UV filters for sustainable sunscreens. Multidisciplinary project using ultrafast spectroscopy, formulation science, and industry collaboration. Funded by public funders and industry; open to UK applicants. Focus on discovery, impact, and inclusive research culture.
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PhD Position: Sustainable Development, Economic Growth and Finance
PhD Position: Sustainable Development, Economic Growth and Finance
PhD positions and research opportunities in finance, policy, and sustainable growth. Study climate risk, green finance, inclusive finance, and welfare beyond GDP across regions. Multidisciplinary collaboration to influence policy, practice, and resilient economies. Funding options available.
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PhD Studentship: Data-Efficient and Transferable Machine Learning-Based Predictive Models for Catastrophic Risk Assessment in Offshore Wind Infrastructure
PhD Studentship: Data-Efficient and Transferable Machine Learning-Based Predictive Models for Catastrophic Risk Assessment in Offshore Wind Infrastructure
PhD in AI/ML for Offshore Wind Risk: develop data-efficient, transferable ML models for catastrophic risk across turbines, farms and portfolios using multi-fidelity and self-supervised learning. Open-source toolkit and industry-ready workflows. Start Oct 2026.
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