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Postdoc in Health impact scenarios and storylines for climate extreme events

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Science
    Research & Development
  • Amsterdam

AI generated summary

  • You must have a PhD in a related field, strong quantitative and programming skills, and an interest in interdisciplinary work. Experience in statistical modeling and climate data is desirable.
  • You will research the health effects of extreme weather, analyze data using machine learning, publish findings, and contribute to teaching at BSc and MSc levels.

Requirements

  • you have a PhD degree in statistics, economics, climate science, AI, computational social sciences or a related discipline
  • you have strong quantitative and programming skills
  • you have interest in interdisciplinary work
  • your experience in statistical modelling, causal analysis and/or AI is highly desirable
  • your experience with weather/climate data and spatial analysis and processing is an advantage

Responsibilities

  • you conduct innovative research on the effects of extreme weather events on multidimensional health
  • you use individual-level data and weather/climate data, as well as state-of-the-art machine learning methodologies to estimate the causal link between extreme weather and health
  • you publish research results in international peer-reviewed journals and impact-oriented journals
  • you contribute to our teaching at BSc and MSc levels

FAQs

What is the focus of the postdoc position in this job description?

The focus of the postdoc position is on the health impacts of extreme weather events, particularly how climate change affects various dimensions of human health beyond just mortality.

What qualifications are required for this position?

Candidates should have a PhD degree in statistics, economics, climate science, AI, computational social sciences, or a related discipline, along with strong quantitative and programming skills.

Which methodologies will be utilized in the research?

The research will utilize individual-level data, weather and climate data, as well as state-of-the-art machine learning methodologies to estimate the causal links between extreme weather and health.

Is teaching involved in this position?

Yes, the position involves contributing to teaching at the BSc and MSc levels.

What is the duration of the employment contract?

The employment contract will initially start with a 1-year term, with the possibility of extending it for another 2 years.

What salary range is offered for this position?

The salary ranges from a minimum of €3,378.00 to a maximum of €5,331.00 gross per month, depending on education and experience.

Are there any benefits associated with this position?

Yes, benefits include a holiday leave entitlement, 8% holiday allowance, 8.3% end-of-year bonus, a solid pension scheme, contribution to commuting expenses, and an optional personalized benefits package.

How is diversity regarded in the selection process?

Diversity is highly valued at VU Amsterdam, and the institution seeks to create an inclusive community. Candidates from diverse backgrounds are encouraged to apply as they contribute to the richness and innovation of the university community.

What types of previous experience are advantageous for applicants?

Experience in statistical modeling, causal analysis, AI, weather and climate data handling, and spatial analysis and processing is highly desirable.

How can I apply for this position?

Interested candidates should submit their applications online, as applications received by e-mail will not be considered.

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