Postdoc: Urban Tree Ecohydrology for City Cooling

WSL - Swiss Federal Institute for Forest, Snow and Landscape Research

Birmensdorf (ZH)

On-site

CHF 65,000 - 85,000

Full time

2 days ago
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Job summary

WSL - Swiss Federal Institute for Forest, Snow and Landscape Research invites applications for a PostDoc in Urban Tree Ecophysiology and Ecohydrology. The position is based at WSL Lausanne, focusing on understanding urban green infrastructure performance for cooling and rainwater retention.

You will combine in-situ measurements with soil hydraulic characterization, continuous soil-moisture monitoring, and field observations to parameterise an urban ecohydrological model.

Qualifications

  • PhD in plant physiology, urban ecology, ecohydrology or related field.
  • Strong quantitative and scientific writing skills.
  • Excellent written and spoken English; French and German a plus.
  • Experience with data analysis and modelling in R or Python essential.
  • Familiarity with field instrumentation and remote sensing advantageous.

Responsibilities

  • Conduct in-situ measurements of tree water use and soil moisture.
  • Parameterise urban ecohydrological models from field data.
  • Scale up findings to citywide assessments using remote sensing.
  • Collaborate with interdisciplinary teams and stakeholders across sites in Sion, Fribourg and Winterthur.

Skills

Data analysis
Scientific writing
Field research
Communication skills
Python
R

Education

PhD in plant physiology

Tools

sap flow sensors
soil-moisture sensors
remote sensing data

Job description

WSL - Swiss Federal Institute for Forest, Snow and Landscape Research invites applications for a PostDoc in Urban Tree Ecophysiology and Ecohydrology. The position is based at WSL Lausanne, focusing on understanding urban green infrastructure performance for cooling and rainwater retention.

You will combine in-situ measurements with soil hydraulic characterization, continuous soil-moisture monitoring, and field observations to parameterise an urban ecohydrological model.

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