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PhD Vacancy for the forestry industry, NMBU, Norway – Machine learning

NMBU Norwegian University of Life Sciences

Norway

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Oct 20, 2021 23:59 (GMT +2)

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The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to machine learning in the forestry sector – Norway, Oct 2021.

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General Info

Position: PhD
No. of Positions: 1
Research Field: , , , ,
Deadline to Apply: October 20, 2021(GMT +2)
Joining Date: -
Contract Period: 3 Years
Salary: 491,200 NOK/Year

Workplace:
SmartForest
Faculty of Science and Technology
NMBU Norwegian University of Life Sciences
As,

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Qualification Details

In order to be appointed, the candidate must meet the requirements for admission to one of the PhD programs at NMBU. A master's degree of at least 120 credits (ECTS) is required, which is based on a bachelor's degree of at least 180 credits (ECTS), or an integrated master's degree of at least 300 credits (ECTS). MSc thesis completed by 30. September may be considered. The applicant must have a documented strong academic background from previous studies, and be able to document good English skills, both written and oral. For more detailed information on admission criteria, see the PhD Regulations and the “supplementary provisions for the PhD programmes”.

The applicant must document expertise and interest in the research subject.

Required Academic qualifications, MSc degree in one of the following disciplines or similar:

  • Data science
  • Computer science
  • Statistics
  • Mathematics

Desired qualifications:

  • Experience with computer vision and computer vision applications
  • Experience with handling stored and streaming data
  • Experience with building and validating prediction models

Required personal skills:

  •  High degree of motivation
  • Ability to work and co-operate in an interdisciplinary group
  • Ability to work independently
  • Good communication skills
  • Fluent in English (written and oral)

Responsibilities/Job Description

  • Develop machine learning models for measuring timber volume and quality from image data
  • Develop machine learning models for measuring timber volume and quality from 3D point clouds (photogrammetric and lidar)
  • Develop and test approaches for creating individual log traceability along the production chain by recognizing individual logs in images and point clouds captured at different points along the production chain (forest to mill)

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -21/04579
(If any, use it in the necessary place)

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Documents Required

Applications should include (electronically):

  • A letter of intent
  • Curriculum vitae
  • Full publication list
  • Copies of degree certificates and transcripts of academic records (all certified)
  • A list of two persons who may act as references (with phone numbers and e-mail addresses)
  • Proof of English proficiency must be attached in accordance with NMBU PhD regulation section 5-2 (3).

Publications should be included electronically within the application deadline. Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 20. October 2021. Please quote reference number 21/04579.

About the Department

SmartForest (www.smartforest.no) is a center for research-based innovation aiming at increasing environmental and production efficiency in the forestry-based value chain through digitalization. A key aspect of SmartForest is converting data to actionable insights through the application of novel machine learning approaches in the forestry domain.

We seek a PhD candidate who will apply machine learning techniques to images and 3D lidar and photogrammetric point clouds for automation of timber measurement. In SmartForest, we will collect images and point clouds of individual harvested logs and log piles along the production chain (in the forest, on trucks, and at the mill). The candidate will explore how we can apply machine learning approaches to the collected data to automate the measurement of amounts and quality of the harvested wood. In addition, the candidate will explore if it is possible to track individual logs through the production chain by recognizing the individual in images and point clouds captured at different points along the production chain.

About the Employer: NMBU Norwegian University of Life Sciences

Note or Other details

Information for PhD applicants and general Information to applicants

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Contact details

For further information, please contact:

  • Dr. Oliver Tomic, associate professor of Data Science at NMBU, E-mail: oliver.tomic@nmbu.no; phone +47 6723 1607 or
  • SmartForest Centre Director Dr. Rasmus Astrup at NIBIO, E-mail: rasmus.astrup@nibio.no; pone +47 9415 1660

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