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Communities are often highly motivated to contribute to solutions that enhance their resilience to the increasing effects of climate change. However, while much knowledge already exists on resilient infrastructure, land use and restoration schemes, early warning systems, recovery and reconstruction practices, amongst others, one-size-fits-all solutions do not account for regional disparities, individual community needs and capabilities. There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level. Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community. Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts. The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Communities are often highly motivated to contribute to solutions that enhance their resilience to the increasing effects of climate change. However, while much knowledge already exists on resilient infrastructure, land use and restoration schemes, early warning systems, recovery and reconstruction practices, amongst others, one-size-fits-all solutions do not account for regional disparities, individual community needs and capabilities. There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level. Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community. Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts. The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact.
Admission Requirements
3.2+
6.5+
92+
Students should have at least, or expected to achieve, a 2:1 honours degree (or equivalent international qualification) or equivalent experience in an area related to computer science.
17 Feb 2025
3 Years
Oct
Scholarships
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To help students navigate this challenging process, we recommend the following articles:
Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
Loughborough University, Loughborough, United Kingdom
# 251-300QS Subject Rankings
36 monthsProgramme duration
17 Feb, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level.
Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community.
Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts.
The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
There are three barriers to the planning and implementation of concrete, actionable and tailored resilience strategies: (1) access to relevant place-dependent knowledge, e.g. what could work here?; (2) understanding of the practical steps involved in implementing the identified solutions, e.g. who to involve?, how to fund?, what to consider?; and (3) enabling coordination of isolated local projects to converge into coherent joint action at a larger level.
Our project will develop a decision support tool that helps communities create tailored action plans towards climate resilience and adaptability for their local community.
Large language models will serve to identify, extract and interpret knowledge from existing document collections, such as scientific articles, climate reports, environmental impact assessments, and policy documents, that can translate into a reliable knowledge base. Remote sensing data will be used to enhance information gained from text, for example, to gather information on geographical features, land use, potential geohazards, to inform which solutions work in specific places and contexts.
The successful candidate will work in the new Loughborough Language & Data research group in Computer Science and will also collaborate with colleagues at the UK’s Centre for Environment, Fisheries and Aquaculture Science (CEFAS) towards pathways of impact.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
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Countering Cyberattacks in Autonomous Vehicles PhD
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Crystallisation with 3D Printing Template and Hydrogel Templates PhD
Data and AI Powered Turbulence Modelling for Fusion Energy Cooling Flows PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Developing Diffusion Models for Electric Vehicle: Spatial-temporal analysis and Policy Evaluation PhD
Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD