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Research Scientist (Postdoc) Position in Remote Sensing – Natural Resources Institute Finland (Luke), Finland

About the Position

Natural Resources Institute Finland (Luke) invites applications for a funded Postdoctoral Research Scientist position in Environmental Science / Remote Sensing / Forestry within the DigiTForest project. This exciting academic opportunity focuses on large-scale forest mapping, biodiversity assessment, and digital twin modelling using advanced remote sensing technologies and forest inventory data. Moreover, the project contributes to international research initiatives across Nordic and global environmental science networks.

The successful candidate will work collaboratively within an interdisciplinary remote sensing research team, conducting independent research using airborne laser scanning, geospatial datasets, and statistical modelling approaches. Additionally, access to high-performance computing systems, international collaborations, and expert supervision ensures a productive environment for impactful publications and academic career growth in forest science and machine learning.

Applicants must hold a PhD in forestry, data science, statistics, machine learning, or a closely related discipline, with strong experience in quantitative data analysis and large dataset processing. Furthermore, preferred skills include R programming, remote sensing analytics, and scientific computing, alongside excellent communication, teamwork, and international research collaboration abilities in interdisciplinary environmental projects.

This is a full-time, non-tenure-track Postdoctoral position for a fixed-term period, offering a competitive funded research salary and benefits. The role provides opportunities for international mobility, conference participation, and collaboration with leading researchers from Sweden, Norway, and Canada, ensuring strong professional development in a globally recognised research environment.

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Program / Job Details

Explore fully funded research positions and academic opportunities at Natural Resources Institute Finland (Luke), Finland, and take your research career to the next level.

Research Area

The research project focuses on:

  • Digital twin modelling of boreal forests
  • Forest biodiversity and ecosystem monitoring
  • Remote sensing and airborne laser scanning
  • Large-scale geospatial data analysis
  • Statistical modelling and machine learning
  • Forest inventory integration
  • Nordic and global forest ecosystems

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Eligibility & Qualifications

Minimum Requirements

  • PhD in forestry, environmental science, statistics, or machine learning
  • Strong statistical and quantitative analysis skills
  • Experience with large datasets
  • Fluency in English
  • Willingness to work internationally

Preferred Qualifications

  • Experience with remote sensing data
  • Knowledge of R or similar programming tools
  • Background in scientific computing
  • Strong publication record
  • Interdisciplinary research experience

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Key Responsibilities

  • Conduct independent research in remote sensing and forest science
  • Develop large-scale forest mapping methods
  • Collaborate with international research partners
  • Publish high-impact scientific papers
  • Participate in fieldwork and data analysis
  • Contribute to project development and reporting

Application Process

Submit your application and all required documents through the official portal as listed below:

Required Documents

  • CV / Resume
  • Cover letter
  • Academic transcripts
  • Publication list
  • References

Important Dates

  • Applications Open: March 2026
  • Application Deadline: 22 April 2026 (13:00 UTC)
  • Interview Period: To be announced
  • Expected Start Date: 2026

Where to Apply

📧 Contact for Queries

This position offers an excellent opportunity for scholars seeking fully funded research positions, international academic collaboration, and advanced research opportunities at the Natural Resources Institute Finland (Luke) in Finland, across diverse interdisciplinary research areas.

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