PhD Candidate in Neural Networks Modelling: The University of Twente is offering an exciting PhD position focused on advancing the field of AI for early warning systems through the development of Physics-Informed Neural Networks (PINNs) aimed at modeling complex interactions between multiple geophysical processes, specifically between earthquakes and landslides. This position is aimed at improving disaster preparedness and enhancing risk mitigation strategies against natural hazards.
PhD Candidate in Physics-Informed Neural Networks for Multi-Hazard Modelling
Designation
PhD Candidate
| Detail | Info |
|---|---|
| Salary | Gross monthly salary: € 2,872 – € 3,670 |
| Hours | 40 hours/week |
| Duration | 4 years (with qualifiable position after 6-9 months) |
| Location | University of Twente, Netherlands |
Research Area
- Physics-Informed Neural Networks (PINNs)
- Multi-hazard modelling (earthquakes, landslides, floods)
Location
University of Twente, Netherlands
Eligibility/Qualification
- Academic background in Earth sciences or quantitative sciences (physics, mathematics, engineering) with a strong affinity for Earth sciences.
- Experience in mathematical modeling or neural network architectures.
- Familiarity with partial differential equations (PDEs) and their numerical solution methods is desirable.
- Proficiency in at least one programming language used for scientific computing.
- Understanding of uncertainty quantification and remote sensing is advantageous.
Description
Natural hazards such as earthquakes, floods, and landslides pose significant risks, often occurring in interconnected scenarios that are complex to model. Traditional numerical methods face limitations in multi-hazard scenarios. This project aims to overcome those limitations by leveraging PINNs to accurately simulate and predict these interactions, enhancing real-time disaster management and early warning systems. The role involves embedding the governing equations of physical processes into neural networks to capture nonlinear behaviors and the effects of multiple hazards working in tandem.
How to Apply
Interested candidates are invited to apply before the deadline. Applications must include:
- A cover letter detailing your favorite programming language and the rationale.
- Curriculum Vitae with relevant achievements and at least two references.
- Academic transcripts from BSc and MSc education including grades.
- Abstract and the first two pages of your most recent academic result (thesis/project).
- A statement of research interests focusing on scientific gaps.
Last Date to Apply
December 15, 2024
For further inquiries, you may contact Ashok Dahal at a.dahal@utwente.nl.
