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University of Twente

PhD Candidate Geospatial Risk Modelling for Climate Finance

2025-05-17 (Europe/Amsterdam)
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Job description

The University of Twente wishes to increase the number of women in the faculty to have a more balanced staff profile. Therefore, we will prioritise selecting women who fit this profile during all phases of the selection process.

Your tasks

Effectively understanding and mitigating financial risks associated with climate change is important for sustainable economic decision-making. Climate finance is critical in addressing physical risks by quantifying economic losses from climate-related disasters and developing financial instruments that enhance market resilience. As global financial markets increasingly recognise the importance of climate risks, central banks and regulatory bodies demand improved assessments of disaster risk of local assets and supply chains.

Advancements in geospatial analytics, climate modelling, and financial risk assessment now allow a more precise evaluation of climate-induced risks. Integrating these disciplines enables a deeper understanding of sectoral and global financial vulnerabilities, and supports the development of more effective risk management strategies.

Despite growing attention to climate-related financial risks, significant knowledge gaps remain particularly in the availability and granularity of asset-level data. Many financial institutions lack precise information on the physical location of their assets or those of the companies they invest in, which limits the ability to assess exposure to localized hazards. This challenge is compounded by the difficulty of linking geospatial data with asset ownership, making it hard to evaluate how physical risks translate into financial vulnerabilities at the institutional level.

This PhD research aims to develop a holistic modelling framework for assessing financial risks associated with climate-related hazards at the granularity of asset-level data. Therefore, you will be integrating geospatial data with financial and climate information. You will establish a new protocol for linking asset location to ownership information and for quantifying potential financial losses from various climate-related disasters, the latter being considered both individually or as multi–hazardous events. As such, you will contribute to more accurate financial risk assessments of extreme events linked to climate change, equipping investors, policymakers, and financial institutions with actionable insights for informed decision-making.

Your profile

  • An MSc degree in quantitative sciences such as geo-information science, geomatics engineering, or economics or a related field
  • Interest in spatiotemporal modelling
  • Proficiency in scientific computing (Python or R)
  • Good communication skills and an excellent command of English. Fluency in Dutch or willingness to learn Dutch is a plus
  • Familiarity with financial data analysis and remote sensing is considered an advantage

Interested and motivated candidates are encouraged to apply, even when they still need to possess all desired skills. You can develop relevant skills on the job through dedicated learning and doctoral training.

Our offer

  • An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda
  • Full-time position for 4 years
  • A professional and personal development programme within Twente Graduate School
  • Gross monthly salary of € 2,770.- in the first year that increases to € 3,539.- in the fourth year
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
  • Excellent support for research and facilities for professional and personal development
  • A solid pension scheme
  • A total of 41 holiday days per year in case of full-time employment
  • Excellent working conditions, an exciting scientific environment, and a green and lively campus.

Information and application

For more information about the position, you may contact Dr Adriano Barasal Morales (email: [email protected]).  You are also invited to visit our homepage.

Please submit your application before 18 May 2025. Your application should include:

  • A motivation letter (maximum 2 pages of A4), emphasizing your specific interest, qualifications, motivation to apply for this position, and the environmental issue or change you want to address in your research
  • Curriculum Vitae (including a list of all courses attended and grades obtained and the names and contact information of two references)
  • A short description (150 – 250 words) of your last significant result (MSc thesis/final project report/EngD thesis) and a list of publications

Online (first round) job interviews will take place in the week of 9 – 13 June, 2025. Possible second-round interviews are expected to take place in the second week of July.

About the department

The Department of Applied Earth Sciences combines earth scientific knowledge with dynamic modelling and advanced remote sensing, to analyse earth systems and processes in space and time. Our goal is to contribute to global challenges concerning future demands for earth resources and to help reduce disaster risk and the impact of natural hazards on communities living in changing environments.

About the organisation

The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science and earth observation. Our mission is capacity development, where we apply, share and facilitate the effective use of geo-information and earth observation knowledge and tools for tackling global wicked problems. Our purpose is to enable our many partners around the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across disciplinary and geographic divides with governmental and non-governmental organisations, institutes, businesses, and local populations to surmount today’s complex global challenges and to contribute to sustainable, fair, and digital societies.

Dettagli del lavoro

Titolo
PhD Candidate Geospatial Risk Modelling for Climate Finance
Datore di lavoro
Sede
Drienerlolaan 5 Enschede, Paesi Bassi
Pubblicato
2025-04-17
Scadenza candidatura
2025-05-17 23:59 (Europe/Amsterdam)
2025-05-17 23:59 (CET)
Tipo di lavoro
Salva lavoro

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