PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks.

PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks.

Trainee 30000 - 40000 € / year (est.) Home office (partial)
Complex Systems Society

At a Glance

  • Tasks: Develop a dynamic Agent-Based Model to simulate climate shock impacts on finance.
  • Company: University of Leeds, collaborating with IIASA for cutting-edge research.
  • Benefits: Gain unique expertise in complex systems and financial modelling.
  • Other info: Engage with global experts and access unique research opportunities.
  • Why this job: Make a real difference by tackling climate uncertainty in the financial sector.
  • Qualifications: Pre-doctoral experience in finance and a passion for complexity science.

The predicted salary is between 30000 - 40000 € per year.

The key research question is: How can we move from traditional, static risk models and develop dynamic frameworks that capture uncertainty in cascading climate shocks? The successful candidate will develop a novel Agent-Based Model (ABM) coded in Python to simulate how uncertainties from climate-related shocks cascade through the global financial system.

You will explore the potential benefits of ABM beyond existing optimization paradigms in terms of incorporating uncertainty in cascading climate shocks. Your research will move beyond mapping cascades emerging from climate shocks and quantify the uncertainty they generate.

You will start by reviewing the literature and existing open-source models to identify what further developments are required to integrate data on supply chains and climate vulnerability. You will then explore the uncertainty in a cascading climate shock related to synchronous droughts.

The primary outcome will be a simulation tool that provides a new, dynamic representation of climate-financial uncertainty under cascading shocks. This will enable decision-makers to move from assessing single risks to stress-testing against complex, cascading scenarios currently impossible to model, supporting the design of robust strategies in the face of climate uncertainty.

The project will be co-supervised by Dr. Roger Cremades (main supervisor, University of Leeds) and Dr. Celian Colon (co-supervisor, Advancing Systems Analysis Program, IIASA), providing a unique combination of expertise in complex systems science, financial modelling and cascading climate shocks.

The successful candidate will be enrolled and based at Leeds and is expected to engage with IIASA online and through short in-person visits, e.g. via programs like the YSSP and the SSSM. Students with pre-doctoral experience in the financial sector and a curiosity for complexity science are encouraged to apply.

PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks. employer: Complex Systems Society

As a leading institution in climate research and financial modelling, we offer an exceptional environment for PhD candidates to thrive. Our collaborative work culture fosters innovation and creativity, while our commitment to professional development ensures that you will gain invaluable skills and experience. Located in Leeds, you will benefit from access to world-class resources and a vibrant academic community dedicated to addressing the pressing challenges of climate change.

Complex Systems Society

Contact Detail:

Complex Systems Society Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks.

Tip Number 1

Network like a pro! Reach out to professionals in the climate finance field on LinkedIn or at conferences. We can’t stress enough how important it is to make connections that could lead to opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing any relevant projects, especially those involving Python and agent-based modelling. This will help us see your practical experience and creativity in tackling complex problems.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of cascading climate shocks and financial implications. We recommend discussing recent research or models you’ve explored to demonstrate your passion and understanding of the topic.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks.

Agent-Based Modelling (ABM)
Python Programming
Dynamic Risk Modelling
Data Integration
Literature Review
Simulation Tool Development
Complex Systems Science

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for the research topic shine through. We want to see that you’re genuinely interested in exploring the financial implications of climate shocks and how they affect our world.

Tailor Your CV:Make sure your CV highlights relevant experience, especially any work related to financial modelling or climate science. We’re looking for candidates who can demonstrate their skills in these areas, so don’t hold back!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this PhD opportunity. Be specific about your background, your interest in agent-based modelling, and how you plan to tackle the research question.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!

How to prepare for a job interview at Complex Systems Society

Know Your Stuff

Make sure you dive deep into the research question about dynamic frameworks and cascading climate shocks. Familiarise yourself with existing models and literature, especially those mentioned in the job description. This will show your genuine interest and understanding of the field.

Showcase Your Skills

Be ready to discuss your experience with Python and any relevant modelling techniques. If you've worked on Agent-Based Models or similar projects, prepare to share specific examples. Highlight how your skills can contribute to developing the simulation tool mentioned in the role.

Ask Smart Questions

Prepare insightful questions for your interviewers, like how they envision the integration of data on supply chains and climate vulnerability. This not only shows your enthusiasm but also your critical thinking about the project’s challenges and opportunities.

Connect with Your Supervisors

Research Dr. Roger Cremades and Dr. Celian Colon's work to understand their expertise better. Mentioning their research during the interview can help establish a connection and demonstrate your proactive approach to collaboration in this unique supervisory setup.