Publisher
source

K Norris

3 months ago

AI in the Museum – Quantifying Over a Century of Change in the Geographical Ranges of the Birds of Madagascar University of Reading in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Reading

Social connections

How do Vietnamese students apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

Keywords

Computer Science
Data Science
Machine Learning
Environmental Science
Biology
Zoology
Geography
Artificial Intelligence
Climatology
Biodiversity
Climate Change
Computer Vision
Conservation
Statistics
Bird
Geographical Range
Madagascar

About this position

This PhD project at the University of Reading, in collaboration with the Natural History Museum, offers a unique opportunity to investigate the impact of climate and land-use change on the geographical ranges of Madagascar's wild birds. Madagascar is a globally recognized biodiversity hotspot, home to approximately 250 bird species, with 115 found nowhere else. About 15% of these species are threatened with extinction, making conservation efforts in this region particularly urgent.

The project leverages both historical museum specimens and modern data, utilizing cutting-edge artificial intelligence and machine learning techniques to quantify changes in species distributions over more than a century. By integrating natural history collections with advanced computational methods, the research aims to uncover how climate change and human activities have reshaped the ranges of Madagascar's birds, and to identify actionable strategies for conservation.

Students will work within the EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate, gaining interdisciplinary experience in biodiversity, environmental biology, computer vision, data science, meteorology, and statistics. The project is supervised by a team of experts: Prof K Norris, Dr D Senapathi, Prof E Black, and Dr A.SJ Salili-James.

Funding includes a full UKRI stipend and home-level PhD tuition fees. Applicants should have a strong academic background in a relevant discipline (biology, environmental science, computer science, statistics, or related fields), with quantitative and analytical skills. Experience or interest in AI, data science, or machine learning is desirable. International applicants may need to demonstrate English language proficiency.

Applications are accepted year-round. To apply, submit your CV and cover letter via the University of Reading application portal, and contact the supervisors for further information if required. For more details, visit the project page: FindAPhD Project Link.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should hold or expect to obtain a first or upper second class degree in a relevant subject such as biology, environmental science, computer science, statistics, or a related discipline. Experience or interest in artificial intelligence, data science, or machine learning is desirable. Strong quantitative and analytical skills are preferred. International applicants may need to provide evidence of English language proficiency (such as IELTS or TOEFL).

How to apply

Apply online via the University of Reading application portal. Prepare a CV and cover letter outlining your suitability for the project. Contact the supervisors for further information if needed. Applications are accepted year-round.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors