PhD position in Integrated Forest Risk Management

27 Jan 2024
Job Information

Organisation/Company

ETH Zürich

Research Field

Environmental science » Earth science
Agricultural sciences » Forest sciences
Economics » Other
Environmental science » Other
Geography » Other

Researcher Profile

First Stage Researcher (R1)

Country

Switzerland

Application Deadline

25 Apr 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Part-time

Hours Per Week

41

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

PhD position in Integrated Forest Risk Management

The Forest Resources Management (FORM) at ETH aims to maximise forest utilities for humans today and in the future. With this vision in mind our research is centred around the development of impact oriented new approaches to inventory our forest resources, decision support systems to manage our forests sustainably under risk, and translating our findings to policy and practice.

Project background

Forest ecosystems are increasingly exposed to risks. Climate extremes increase in frequency and severity and impact forest functions and ecosystem services. Accordingly, our forecasts of what to expect from forests when it comes to resources available for human consumption or the availability of forest ecosystem services need to consider these unknowns.

While select risks are considered in almost every attempt to forecast forest development today, three main shortcomings still exist: 1) reliance on past observations for probability-based assessments, 2) neglect of extreme events, and 3) a disregard for the complex interactions between risk factors.

Mathematical theories such as the Dragon King claim that extreme events may be generated by mechanisms such as positive feedback, tipping points, and phase transitions in nonlinear and complex systems, making them potentially predictable with a deep understanding of system dynamics. This project will improve the integration of risk into forest models by investigating the mechanisms underlying extreme events and cascading effects of natural disturbances in forests and exploring suitable approaches to effectively detect and consider them in forest management.

Job description

• You will gain in-depth knowledge of the mechanisms underlying cascading effects and extreme events in forests, find suitable data to test your theories, and will drive the development of solutions that may change how we manage our forests.
• You will explore how concepts such as the Dragon king theory offer potential solutions for improving the integration of risk into forest models.
• You will publish your research findings in journal articles and present them at national and international conferences.
• You will contribute to and participate in various FORM group activities, including related research and teaching activities.

Your profile

• You hold a MSc in forestry, environmental science, geography, mathematics, stats or a similar field.
• You enjoy programming and have experience with Python in data analysis and/or numerical modelling.
• You are enthusiastic to learn about forest dynamics, natural disturbances, climate change, and the processes shaping patterns in forested landscapes.
• You have good oral and written communication skills in English, German is an advantage.
• You are highly committed, creative, and motivated to learn new skills.
• You enjoy working in an open, diverse, and interdisciplinary team.

We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

More information is available on the ETH website regarding doctoral studies at ETH and employment conditions of doctoral students .

Working, teaching and research at ETH Zurich

We value diversity
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.

We look forward to receiving your complete application, including:

• A letter of motivation, no more than 2 pages in length, describing your motivation to apply for this position, reasons for pursuing a PhD with the FORM group at ETH Zurich, and how you meet the qualifications listed above.
• A full CV.
• Academic certificates and transcripts (BSc and MSc).
• Name and contact information of 3 references.

The desired starting date is April 2024, an alternative starting date can be discussed.

Screening of applications will start on February 15, and interviews will take place on a rolling basis. Applications are accepted until the position is filled.

All documents must be in PDF format and uncompressed. Please note that we exclusively accept applications submitted through our online application portal.

Further information on our research group is available at our Website . For further questions regarding the position, please contact [email protected] .

About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.
Requirements

Research Field

Environmental science

Years of Research Experience

1 - 4

Research Field

Agricultural sciences

Years of Research Experience

1 - 4

Research Field

Economics

Years of Research Experience

1 - 4

Research Field

Environmental science

Years of Research Experience

1 - 4

Research Field

Geography

Years of Research Experience

1 - 4

Additional Information

Website for additional job details

https://academicpositions.com

Work Location(s)

Number of offers available

1

Company/Institute

ETH Zürich

Country

Switzerland

City

Zurich

Postal Code

8006

Street

Rämistrasse 101

Geofield

Where to apply

Website

https://academicpositions.com/ad/eth-zurich/2024/phd-position-in-integrated-for…

Contact

City

Zurich

Website

https://ethz.ch/en.html

Postal Code

8006

STATUS: EXPIRED