阿姆斯特丹自由大学

Modelling Exposure and Vulnerability of Critical Infrastructure along the European Coast

项目介绍

Do you want to make a contribution to sustainable management of natural hazards and work in a team of outstanding water and climate scientists? Please apply at Vrije Universiteit Amsterdam.

Location: AMSTERDAM
FTE: 0.8 – 1

JOB DESCRIPTION

You will work on research leading to a PhD thesis related to modelling the exposure and vulnerability of infrastructure assets along the European coastline. Critical infrastructure systems provide vital societal functions, but have been underrepresented in past large-scale coastal risk assessment studies. By developing this new knowledge, the research will allow us to improve our understanding of the societal vulnerability to coastal flooding of the population in the European coastal area.

The position entails: (1) the high-resolution mapping of infrastructure assets (i.e. exposure), (2)  improving/creating databases with the physical characteristics of these assets and their vulnerability to coastal flooding. Using this new information on exposure and vulnerability, (3) we will focus on improving the knowledge on infrastructure (inter)dependencies between different infrastructure systems and society. This will be done through an explicit spatial coupling of the identified infrastructure assets and their end users. Finally, (4) first steps will be made in estimating how current-day infrastructure density may change towards the future, based on sea level rise and changing infrastructure demands. 

This research is part of a large EU-funded project, CoCliCo. The work will be carried out at the Institute for Environmental Studies (IVM) at VU Amsterdam. You will work in close collaboration with our consortium partners, including BRGM, the Global Climate Forum, the University of East Anglia, Deltares, and the University of Kiel. The results will be used to inform decision-making related to the impacts of sea level rise on the European coastline.

Your duties

  • develop and train a machine learning algorithm to detect infrastructure assets on high-resolution satellite imagery
  • writing a PhD thesis consisting of 4 scientific papers
  • working with colleagues of the project consortium and contributing to project reporting
  • contributing to the teaching activities of IVM

REQUIREMENTS

  • have a MSc degree in civil engineering, civil/environmental management, earth sciences, hydrology, computational sciences, or similar
  • good knowledge of spatial analysis (including GIS)
  • good skills in programming and using large spatial datasets (preferably in Python, or willing to learn Python)
  • strong quantitative methodological skills
  • experience with High Performance Computing (or interest in learning) is desirable

WHAT ARE WE OFFERING?

A challenging position in a socially involved organisation. The salary will be in accordance with university regulations for academic personnel and amounts €2,395 (PhD) per month during the first year and increases to €3,061 (PhD) per month during the fourth year, based on a full-time employment. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.

The appointment will initially be for 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a duration of 3 years.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:

  • a maximum of 41 days of annual leave based on full-time employment
  • 8% holiday allowance and 8.3% end-of-year bonus
  • solid pension scheme (ABP), contribution to commuting expenses
  • optional model for designing a personalised benefits package

ABOUT VRIJE UNIVERSITEIT AMSTERDAM

The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.

Diversity
We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science
The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.

About the institute
Established in 1971, IVM is a leading environmental research institute that is internationally recognised for its high quality research output in a range of environmental disciplines, as well as for its interdisciplinary work. The mission of the institute is to contribute to sustainable development and care for the environment through scientific research and teaching. IVM aims to do excellent problem-oriented research that is useful to a wide range of stakeholders in the Netherlands and internationally. A unique strength of our research is to understand sustainability problems in their social and economic context. IVM’s research community works within four departments: Environmental Economics; Environmental Geography, Environmental Policy Analysis; and Water and Climate Risk. Since 2001 IVM has been part of the Faculty of Science at VU Amsterdam (legal name Stichting VU).

The department of Water and Climate Risk is a dynamic group of 45 international researchers, faculty members and PhD students within the Institute for Environmental Studies (IVM). Explicit attention is given to the interaction between the hydrological and climate systems, and how these interactions lead to risk to society, the economy, and the environment. The focus is on water and climate extremes such as floods and droughts, to estimate impacts from these extremes on various economic sectors, and to examine which strategies can be developed to reduce impacts and risk. This requires the mapping of climate and water-related hazards, as well as the exposure of people and assets and their vulnerability, and estimating associated costs to reduce risk. Risk management and risk transfer strategies are evaluated in the context of both developed and developing countries. Model simulations, data processing, data assimilation and the integration of economic instruments, such as insurance, are key scientific strengths of the department.

APPLICATION

Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter by  June 18, 2021.

Applications received by e-mail will not be processed.

Vacancy questions
If you have any questions regarding this vacancy, you may contact:

Name: Dr Elco Koks
Position: Assistant Professor
E-mail: elco.koks@vu.nl
Website: www.ivm.vu.nl

录取要求

  • have a MSc degree in civil engineering, civil/environmental management, earth sciences, hydrology, computational sciences, or similar
  • good knowledge of spatial analysis (including GIS)
  • good skills in programming and using large spatial datasets (preferably in Python, or willing to learn Python)
  • strong quantitative methodological skills
  • experience with High Performance Computing (or interest in learning) is desirable

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截止日期 2021-06-18
阿姆斯特丹自由大学

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