PhD candidate – wind and snow damage in forest

Key information

This new position is with the National Forest Inventory (NFI) Department, which is a unit within NIBIO’s Division of Forestry and Forest Resources. Mapping and monitoring of forest resources is a main activity for the departement.

Wind and snow damage in forests is an important long-term focus area for the department, and we now want to recruit a PhD candidate who will work with this field.

The position offered is based in Ås, 35 km south of Oslo, and has a duration of 3 years with start as soon as possible.

Main responsibilities

The main task will be identification of important risk factors for wind and snow damage on trees, development of probability models for such damage based on statistical modelling, as well as competence building in this field of research. The work shall be part of an international research project on forest management and climate, and some shorter periods of study abroad at collaborating universities or research institutions may be applicable. The candidate may also be involved in other, thematically related projects, and may also contribute with information about such damage in various settings.

Professional qualifications (required)

  • Master degree in forestry, or combinations of biology, mathematics, statistics, geographical information systems (GIS), meteorology or geology
  • Meet the scientific demands for admission as PhD-student at NMBU          
  • Good written and oral English skills

Will be evaluated positively

  • Experience with work related to Norwegian or Nordic forestry
  • Knowledge in remote sensing
  • Knowledge of data management and programming
  • Knowledge of Norwegian or Scandinavian language

Personal qualifications

  • Ability to work independently
  • Good analytical and problem solving skills
  • Good communication and co-operation skills
  • Ability to work constructively under pressure
  • Ability to cooperate with internal and external partners with different professional backgrounds and skill sets

Salary and benefits

The position is remunerated according to the Norwegian State Salary Scale as PhD Candidate code 1017, salary grade 54 – 60 (NOK 479 600 – 532 300 pr. year), commensurate with qualifications and experience.

Membership in the Norwegian Public Service Pension Fund, which includes a good occupational pension scheme, occupational injury and group life insurance, and low-interest home loans.

Do you need more information?

Contact Dr. Aksel Granhus +47 974 82 012 or Dr. Svein Solberg +47 928 53 902,or check web page nibio.no

How to apply for the position

Please send your application with CV electronically via the link on this page.

Take diplomas and letters of recommendation with you if invited to an interview, or submit them as an attachment along with the electronic application/CV.

General information

In accordance with the Norwegian Civil Service equal opportunities policy, qualified candidates are encouraged to apply – regardless of age, gender, functional disabilities or national or ethnic background.

We would like to point out that information about applicants may be subject to public disclosure, in accordance with the Freedom of Information Act (Offentlighetsloven), Section 25. An applicant can request to be exempted from inclusion on a public list of applicants. If the request for confidentiality is denied, the applicant will be notified thereof.

About the employer

About NIBIO and the Department

NIBIO’s activities lie within agriculture, food, climate and the environment. The Institute conducts research and management support, and provides knowledge for use in national preparedness, governmental and district management, industry, and the society at large. NIBIO has approximately 700 employees present in all parts of the country. Its main office is located at Ås in Akershus. NIBIO is owned by the Ministry of Agriculture and Food.The National Forest Inventory department is part of the NIBIO Division of Forestry and Forest Resources. The department is responsible for the National Forest Inventory, as well as the preparation of national forest statistics and forecasts for forest resources. Mapping and monitoring forest using various types of remote measurement data is a strategic focus area for the department.

Areas of Research
  • Geoinformatics & Remote Sensing
  • Mathematical Modeling
  • Forestry

Global Biodiversity Information Facility

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