Are you interested in heatwaves and decision-making under deep uncertainty?

Company
TU Delft
Type
TA Vacancy
Location
Curius
Sector
Bachelor & Master
Required language
Dutch, English

Description

Student Assistant Hiring

Are you interested in heatwaves and decision-making under deep uncertainty? Do you want to explore how to prepare for and respond to extreme heatwaves in a distant future? Are you looking for an intriguing research project that offers real-world experience and the chance to collaborate with diverse stakeholders? Do you want to apply the skills you have gained through coursework to a pressing, real-world problem? Then this project is for
you! In this exciting opportunity, you will work as a student assistant with Arka Bhattacharyya (Postdoc, TPM Resilience Lab) and Sylvia Bergh (Senior Researcher, The Hague University of Applied Sciences) on a project funded by Resilient Delta Kick-starter grant. You will also have the chance to be part of Rotterdam’s newly formed Heat Lab, contributing to cutting- edge research on heatwave resilience.

Project Description:
Climate change is making heatwaves more frequent all over the world and the Netherlands  is no exception to that. The National Heatwave Plan, which serves as an early warning system, is not able to address extreme heatwaves without adequate mitigation and adaptation measures at the local level. In this Resilient Delta Kick-Starter project, we will stress-test Rotterdam’s heat plan/adaptation measures to understand its vulnerabilities in
the face of extreme heatwaves in the future while considering different uncertainties such as the duration and severity of the heatwave, population growth, economic growth, climate change, anthropogenic activities, etc. Once the vulnerabilities are identified, we will co- design a pathway for equitable heatwave resilience in Rotterdam with relevant stakeholders that will prioritise robust strategies for adequate heatwave response in different scenarios.

We are looking to hire a student assistant with experience in exploratory modeling, robust decision making, and system dynamics simulation. The ideal candidate will have both fluent English and Dutch language skills. The position is for 8 hours per week, starting immediately and continuing until August 31, 2025.


Core Responsibilities:
• Assisting in organizing interviews and workshops.
• Gathering data and conducting analysis using the Decision-Making under Deep Uncertainty (DMDU) framework.
• Assisting in writing the final project report.


Application Process: If you are interested, please email your resume/CV and a short cover letter (max 1 page) explaining your interest, what you hope to learn, and how your experience aligns with the project to A.Bhattacharyya@tudelft.nl and s.i.bergh@hhs.nl
with the subject "Student Assistant Application".
Application Deadline: November 22, 2024.

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