Erasmus University Rotterdam
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We have 14 sustainable urban development PhD Projects, Programmes & Scholarships
sustainable urban development PhD Projects, Programmes & Scholarships
We have 14 sustainable urban development PhD Projects, Programmes & Scholarships
PhD in Urban Development and Governance
The PhD in Urban Development & Governance is a 4-year flexible trajectory programme that fuses urban management with governance. Read more
Computational Fluid Dynamics (CFD) for Urban Air Quality Simulation and Management
This research project offers an exciting opportunity for individuals passionate about addressing the critical issue of urban air quality through cutting-edge computational fluid dynamics (CFD) techniques. Read more
Building social-ecological resilience to human-wildlife conflict in western Ethiopia
Crop-raiding by wild animals poses a significant livelihood challenge to rural communities worldwide, especially in sub-Saharan Africa where population pressure, environmental and socio-economic change is driving the encroachment of farming into new areas that puts people in conflict with wildlife. Read more
Re-Configuring the sustainable city: an evidence-based framework for an inclusive and healthy community (SF24/EE/ABE/OZBIL TORUN)
Climate change, hybrid working, and the pandemic have triggered significant changes in cities, including inner-city shrinkage and shifts in transportation modes and lifestyles. Read more
Using Unmanned Aerial Vehicles (UAVs) for Mapping Hydromorphology and Hydraulic Habitat
Hydromorphology is synonymous with physical habitat in rivers and describes the combination of the morphological and hydrological / hydraulic components of river channels. Read more
Design and Development of a Mechatronics-Based Modular Mushroom Farming System
In the pursuit of sustainable and innovative agricultural practices, mushroom farming has emerged as a highly efficient and environmentally friendly method of food production. Read more
Smart Cities 4.0
The intelligence of smart cities has been the subject of much academic debate over the past 20 years. This PhD opportunity shall study the latest version of smart cities as the urban and regional innovation system of the fourth industrial revolution. Read more
Sustainability Ph.D.
The Ph.D. in sustainability fosters innovation and creativity in solving real-world challenges within social, economic, technological, and business realms. Read more
Transforming the Future: AI-powered Sustainable solution to enable fast response to dangerous pollution levels for a breathable tomorrow
The research project aims to construct an autonomous computational system using purposeful AI (ML, Deep Learning) that continuously collects and analyses datasets from various sources (e.g. Read more
Individual decisions for transport network efficiency and sustainability
The University of Sheffield invites applications from outstanding candidates for this PhD scholarship opportunity. The project is looking at understanding the interplay of selfish routing, social norms and the availability of transport modes for the development of sustainable mobility at urban and regional scale. Read more
Virtual Reality and Safety Training: an evolutionary approach to enhancing hazard perception in cycling communities
Proposed supervisory team. Dr Shabnam Sadeghi Esfahlani. Dr Matthew A. Timmis. Dr Kjell van Paridon. Theme. AI, Robotics and Automation. Impact themes. Read more
Geographies of youth, cities and precarious livelihoods
Enquiries and application invited for a PhD project on the geographies of youth, cities and precarious livelihoods. Project to encompass one or more of the following themes. Read more
Machine Learning Techniques for Assessment of Structural Damage in Resource-Constrained Environments (VC24091)
The University of the West of Scotland (UWS) is seeking to attract a PhD candidate of outstanding ability and commitment to join its vibrant and growing programme of internationally excellent research. Read more
Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]
In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more
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