Fully Funded PhD – Biodiversity Data: The University of St Andrews invites applications for a fully funded PhD position focused on advancing the “data-to-decision” pipeline for remotely sensed biodiversity data. The project, part of the SUPER DTP, aims to address inefficiencies in existing workflows and promote interdisciplinary innovations to enhance ecological monitoring and decision-making.
Designation: PhD Researcher
Research Area: Developing efficient and accessible “data-to-decision” pipeline for remotely sensed biodiversity data
Location: University of St Andrews, Center for Research into Ecological & Environmental Modelling
Eligibility/Qualification:
- Open to Home/UK and international students
- Interest in ecology, statistics, computer science, and applied wildlife management
- Bachelor’s or Master’s degree in a relevant field
Job Description:
Fully Funded PhD – Developing Efficient and Accessible “Data-to-Decision” Pipeline for Remotely Sensed Biodiversity Data
The interdisciplinary PhD project, supervised by experts in ecology, statistics, computer science, and wildlife management, will focus on:
- Addressing data processing bottlenecks
- Understanding the performance of AI for ecological inferences
- Developing statistical methods for analyzing classification data
The project is purposefully broadly defined, allowing the student to shape the research direction according to their interests.
How to Apply: Interested candidates should apply through the University of St Andrews’ online application portal: Application Link
For more information, please contact Chris Sutherland at css6@st-andrews.ac.uk.
Last Date for Apply: 9 February 2024
Disclaimer: This job post is derived from a reliable source. However, applicants are advised to verify the details and check for any updates on the official University of St Andrews website: Official Site.
