PhD in Geographical and Environmental Sciences at University of Nottingham Malaysia

Description

The Doctor of Philosophy (PhD) in Geographical and Environmental Sciences is a research-intensive programme designed for candidates who aim to make original and significant contributions to the understanding of geographical and environmental processes. Students undertake an independent, in-depth research project under the guidance of experienced academic supervisors, exploring areas such as climate change, sustainable development, environmental management, urban and regional planning, natural resource management, GIS and spatial analysis, or conservation science. The programme emphasises rigorous research methodology, fieldwork, data analysis, and scholarly communication, supported by access to modern laboratories, GIS technologies, and field resources. Graduates develop advanced analytical, technical, and problem-solving skills and are prepared for careers in academic research, environmental consultancy, policy development, urban planning, conservation agencies, and other roles that require expertise in addressing complex environmental and geographical challenges, or for further academic pursuits in related disciplines.

Intake Month(s)

February, April, June, September

Recommended Subject Combinations

Agro-tourism and community development
Atmospheric composition and climate variability
Climate change impact on biodiversity
conservation assessment of vulnerability of environment and adaptation strategies
Conservation ecology of large animals
including the Management & Ecology of Malaysian Elephants (MEME)
Conservation planning and prioritisation
Disaster recovery monitoring and assessment – remote sensing multi-scale approach
Distributed hydrological modelling: characterisation of watershed
precipitation
run off processes and hydrography shape
Geospatial applications and capabilities for forecasting river floods and predicting urban watershed
climate change and its impact of terrestrial ecosystems
Hydro-biogeochemical process and climate changes
Institutional responses towards community participation in natural resources management
Location-based crowd-sourcing data quality assessment
Machine learning for remote sensing image analysis and high-performance computing
Mapping and monitoring vegetation with UAV’s to enhance ecological knowledge
Optical properties of water from different sources
Remote sensing of intercrops
Social and environmental impacts of mining past
present and future trajectories using remote sensing
GIS and social surveys methods
Social capital and natural resources management
Spatially explicit modelling of ecosystem services for regional-scale natural resource management and land use planning
Sustainable intensification of agroecology for community development and agrobiodiversity conservation
Tropical ecology and biodiversity conservation
Valuing the ecosystem services
Water pollution and public health

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