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 enhance your research skills through unique programs.
- Why this job: Make a real difference in understanding climate risks and their financial implications.
- 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.
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. in Leeds 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 employee growth ensures that you will have access to valuable mentorship and resources. Located in Leeds, you will benefit from a vibrant academic community and the opportunity to engage with international experts, making this a truly rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks. in Leeds
✨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 valuable personal connections can be in landing that PhD opportunity.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of Agent-Based Models and their applications in climate shocks. We recommend practising common interview questions with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your passion for the subject! When you get the chance to speak with potential supervisors, share your ideas on how to tackle the research question. We love seeing candidates who are genuinely excited about their work.
✨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’re always looking for innovative thinkers like you to join our team!
We think you need these skills to ace PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks. in Leeds
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for climate science and financial modelling shine through. We want to see that you’re genuinely excited about tackling the challenges of cascading climate shocks!
Tailor Your CV:Make sure your CV highlights relevant experience, especially any work with Agent-Based Models or Python coding. We’re looking for candidates who can demonstrate their skills in a way that aligns with our project goals.
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 how your background and interests align with the research question and the unique aspects of our project.
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 all applications and ensures you don’t miss out on any important updates.
How to prepare for a job interview at Complex Systems Society
✨Know Your Research
Dive deep into the literature surrounding cascading climate shocks and financial implications. Familiarise yourself with existing models and frameworks, especially those mentioned in the job description. This will not only show your genuine interest but also help you articulate how your background aligns with the project.
✨Showcase Your Technical Skills
Since you'll be developing an Agent-Based Model in Python, be prepared to discuss your programming experience. Bring examples of past projects or coursework that demonstrate your coding skills and understanding of complex systems. If you’ve worked on similar simulations, make sure to highlight them!
✨Engage with the Supervisors' Work
Research Dr. Roger Cremades and Dr. Celian Colon's previous work. Understanding their expertise will allow you to ask insightful questions during the interview and show that you’re keen to learn from their guidance. It’s a great way to demonstrate your enthusiasm for the project.
✨Prepare for Scenario Questions
Expect questions about how you would approach integrating data on supply chains and climate vulnerability into your model. Think through potential challenges and solutions beforehand. This will showcase your problem-solving skills and readiness to tackle the complexities of the research.
