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PhD Position in Remote Sensing & Forest Structure at Natural Resources Institute Finland (Luke), Helsinki – Apply by 31 October 2025

About Position/Job

Natural Resources Institute Finland (Luke) invites applications for a Doctoral Researcher to join the project “Use of diverse forest inventory data for quantifying forest structure”. The position focuses on advancing forest structure quantification using field measurements and remote sensing, combining statistical expertise with forestry knowledge. This role is ideal for early-career researchers aiming to pursue a PhD while contributing to a multidisciplinary team under the INSTRUCT project (2025–2029). The researcher will develop statistical approaches, perform Monte Carlo simulations, and collaborate internationally to publish scientific findings. The position emphasises statistical modelling, spatial statistics, and remote sensing within forest science, offering a supportive and innovative environment, flexible work options across Finland, and opportunities to engage with national and international collaborators.

Position/Job Details

Research Area

  • Forest structure quantification
  • Statistical modelling and spatial statistics
  • Remote sensing applications in forestry
  • Field measurements and data analysis

Eligibility & Qualifications

Minimum Requirements:

  • Master’s degree in Statistics, Mathematics, Forestry, or related field with statistical modelling expertise
  • Strong programming skills, especially R
  • Proficiency in English
  • Knowledge of regression modelling, statistical hypothesis testing, and Monte Carlo methods

Preferred Qualifications:

  • Experience in forest inventory and modelling techniques
  • Prior scientific publishing in statistics, forest science, or remote sensing
  • Fluency in Finnish is an advantage
  • Willingness to collaborate internationally

Key Responsibilities

  • Develop statistical approaches to quantify forest structure and composition
  • Perform Monte Carlo simulations and statistical analysis of field and remote sensing data
  • Write scientific articles in national and international collaborations
  • Participate in the INSTRUCT project (2025–2029) and potentially other research projects
  • Collaborate with multidisciplinary teams and international partners

Application Process

How to Apply:

Submit applications electronically via the Valtiolle.fi service or deliver to the Registry Office’s postal address. Both application and envelope must feature the position ID number. Applications must be submitted by 14:00 (UTC), 31 October 2025.

Required Documents:

  • CV/Resume
  • Cover Letter
  • Academic Certificates
  • References (if requested)

Important Dates

  • Application Opens: 8 October 2025
  • Deadline: 31 October 2025, 14:00 (UTC)
  • Interview Date: To be announced

Useful Links

Learn about more Job Opportunities: HigherJobz

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