Competition Funded PhD Project (Students Worldwide)
Deadline for applications: 26 January 2024
Project Overview: Unraveling Mysteries in Near-Earth Space through Machine Learning
Background:
Near-Earth space is a dynamic realm where electromagnetic waves interact with plasmas, influencing global transport and energizing the Earth’s magnetosphere. This project aims to identify and characterize various waves within the magnetosphere, shedding light on their role in governing this intricate and ever-changing system.
Project Focus:
Earth’s magnetosphere shields us from the solar wind, and understanding the dynamics of this region is crucial. Ultra-low frequency waves (ULF) play a key role in transmitting energy across the magnetosphere, impacting Earth’s radiation belts and posing challenges to satellite technology. This project delves into ULF waves, utilizing machine learning to analyze an extensive dataset and uncover patterns and classifications.
Training and Support:
In addition to regular supervisor meetings, students will engage in group activities, seminars, and relevant Masters-level modules. The Northumbria Space Physics group, led by Dr. Sarah Bentley, Prof. Jonathan Rae, and Dr. Kyle Murphy, offers expertise in ULF waves, data analysis, observational techniques, and machine learning for space weather forecasting. The group values diversity and inclusion, actively promoting equal access to PhD opportunities.
Application Details:
Interested candidates should submit a research proposal (approximately 1,000 words) along with relevant documents to Dr. Sarah Bentley at sarah.n.bentley@northumbria. For eligibility and application process inquiries, use the provided email form.
Eligibility Requirements:
- Academic excellence (2:1 or equivalent GPA, Master’s preferred).
- Appropriate IELTS score if required.
- Home student criteria for UK nationals or those with settled/pre-settled status.
Important Dates:
- Deadline for applications: 26 January 2024
- Course start date: 1 October 2024
Funding:
The 3.5-year studentship is available to Home and international students, covering stipend and full tuition fees at UKRI rates. Part-time study options are available.