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Enhancing Mangrove Forest Resilience Against Coastal Degradation and Climate Change Impacts Using Advanced Machine Learning, Ph. D.

  • Application Deadline
  • 36 months
    Duration
University rank #541 (QS) Coventry, United Kingdom
Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship, in the Enhancing Mangrove Forest Resilience Against Coastal Degradation and Climate Change Impacts Using Advanced Machine Learning program.
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Overview

Responding to risk fluctuations as a result of climate change and assessment of relevant impacts are critical steps toward achieving many of the UN Sustainable Development Goals. 

This is particularly true in regions of the world where societal and environmental stressors are already impacting communities and ecosystems. 

Many of such regions can be found along the coastlines, where land is threatened by coastal erosion and flooding driven by storm surges, sea-level rise and intensification of monsoon strength, all of which are associated with climate change. 

Research Opportunity 

Historically, mangrove forests have mitigated against these hazards, but mangroves have been removed or severely deteriorated due to climate change, human activities and economic pressure. 

This Enhancing Mangrove Forest Resilience Against Coastal Degradation and Climate Change Impacts Using Advanced Machine Learning project from Coventry University  will use cutting edge computational techniques to quantify the historic and potential importance of coastal forests to resilience against environmental hazards in the face of climate change. 

Central to the project’s objectives will be to construct an efficient, scalable, accurate and computationally-fast methodology based on the latest developments in Bayesian machine learning (ML). 

The project will provide a platform for an exceptional doctoral candidate to undertake a comprehensive piece of research using state-of-the-art methods, spanning disciplines of data, climate and environmental sciences.

Academic Environment

Coventry University has been the UK’s top modern university for seven consecutive years (Guardian University Guide) and holds a number of other prestigious accolades. The PhD will combine the expertise of two of the University’s key Research Centres. The Research Centre for Data Science (CDS) is based in the Faculty of Engineering, Environment and Computing (EEC) of Coventry University.  

It provides a hub to develop cutting edge research in the areas of Artificial Intelligence, Data Science and Future Computing Technologies. 

The centre has a vocation to push the boundaries of both fundamental science and practical applications.  

Established in 2014 through substantial university investment, the Centre for Agroecology, Water & Resilience (CAWR) is rapidly building a global reputation for transdisciplinary research into processes of resilience in social-ecological systems. Among its key lines of research is work focusing on modelling of water and food systems, aided by high performance computing facilities.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 36 months
    • Duration description

      between three and three and a half years fixed term

  • Languages
    • English
  • Delivery mode
    On Campus

Programme Structure

Training and Development
  • The successful candidate will receive comprehensive research training including technical, personal and professional skills.
  • All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

English Language Requirements

You need the following IELTS score:

  • Minimum required score:

    7

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

Academic Requirements

You need the following GPA score:

Required score: Upper Second Class

Applicants for graduate programs must have the equivalent of a bachelor’s degree with a minimum GPA equivalent to Upper Second Class on the UK Honour scale. Admitted applicants typically have an undergraduate GPA of or better on the UK Honour scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

General Requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 
PLUS 
  • the potential to engage in innovative research and to complete the PhD within a 3.5 years

Additional items for candidate specification

  • We are seeking an enthusiastic and highly motivated person with good interpersonal skills and a keen interest in research. You must have at least a 2:1 honours degree or a distinction or high merit at MSc level (or international equivalent) in Mathematics, Statistics, Computer Science, or a related quantitative discipline.  
  • The desired candidate should also have good programming skills in Python, R or Matlab.   

Tuition Fee

  • International

    Free
    Tuition Fee
    Based on the original amount of 0 GBP per year and a duration of 36 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the original amount of 0 GBP per year and a duration of 36 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Coventry

  • 656 - 1060 GBP/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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