PhD: Dynamic Climate-Finance Modeling with Agent-Based Simulations

Complex Systems Society; Leeds; On-site; GBP 15,000 - 20,000; Full time

Job summary

The Complex Systems Society offers a unique PhD opportunity in Leeds to explore the financial implications of cascading climate shocks. The successful candidate will develop a Python-based Agent-Based Model to simulate climate-related uncertainties and their impact on the financial system.

Co-supervised by Dr. Roger Cremades from the University of Leeds, this role requires a background in the financial sector and a keen interest in complexity science. Engage with leading researchers and contribute to methodologies that can enhance decision-making in climate-related challenges.

Qualifications

• Experience with Agent-Based Modeling and coding in Python.
• Understanding of complex systems science and financial modelling.
• Curiosity for tackling complexity and climate-related issues.

Responsibilities

• Develop an Agent-Based Model to simulate climate-related shocks.
• Review literature and identify necessary developments in existing models.
• Engage with experts and present findings related to cascading climate shocks.

Skills

Agent-Based Modeling

Python

Complex Systems Science

Financial Modelling

Education

Pre-doctoral experience in the financial sector

Job description

The Complex Systems Society offers a unique PhD opportunity in Leeds to explore the financial implications of cascading climate shocks. The successful candidate will develop a Python-based Agent-Based Model to simulate climate-related uncertainties and their impact on the financial system.

Co-supervised by Dr. Roger Cremades from the University of Leeds, this role requires a background in the financial sector and a keen interest in complexity science. Engage with leading researchers and contribute to methodologies that can enhance decision-making in climate-related challenges.