Inland Norway University of Applied Sciences (INN University) is home to over 14,000 students and 1,000 employees, and has campuses in Lillehammer, Hamar, Elverum, Rena, Evenstad and Blæstad.
INN University aspires to build strong and enduring academic and research environments that will spearhead regionally, nationally and internationally. We are developing a new and better institution with high academic and pedagogical quality, aiming at achieving university accreditation by 2020.
Campus Blæstad is located on a farm in a rural landscape, eight kilometres outside Hamar city centre. Hamar is the largest city in Innlandet County. This part of Innlandet is characterized by varied nature and rich cultural heritage. In addition to the PhD study, which is administrated from Campus Evenstad, Blæstad offers agricultural programs at BSc and MSc levels.
Our vision is "Stronger Together".
About the position
The Faculty of Applied ecology, agricultural sciences and biotechnology at Inland Norway University of Applied Sciences (INN) invites applications for a PhD research fellowship in the field of Applied ecology
A 100 % PhD position in applied ecology is available at Inland Norway University of Applied Sciences (INN), Faculty of Applied Ecology, Agricultural Sciences and Biotechnology. The position is financed by Innlandet Fylkeskommune and is based on the "Regional plan for climate, energy and environment" in that the student will work on topics related to the importance of outfield grazing for natural diversity, economic activities and outdoor life. The position will run for 4 years, of which 25% involves teaching/supervision assignments, starting in August 2023. The candidate will be enrolled in INN’s PhD program in applied ecology and biotechnology, with workplace at Campus Blæstad.
About the project
Livestock grazing in outlying lands has been an important practice for centuries in Norway since it makes use of otherwise unavailable natural resources in forest and mountain areas available for food production. The use of coniferous forest as pasture for livestock has a long tradition in Norway but faces challenges in a landscape with modern forestry and the presence of large predators.
The project deals with issues that concern various stakeholders in the boreal forest, and they will therefore participate and give input throughout the project. The PhD student will take part in interviewing sheep farmers, foresters and representatives from tourist and hunting organizations to gather their experiences with forest grazing, with intent to develop sustainable silvopasture systems for sheep in the coniferous forest.
This project will examine two current and one experimental grazing system in coniferous forests: 1) free‐ranging sheep, 2) sheep inside electric carnivore proof fences, and 3) sheep grazing on fenced clear-cuts. Studies of how different grazing methods affect sheep production and health, vegetation on clear-cuts, growth and damages in young spruce plants will be carried out in each system. The student will collaborate with another PhD student in the project on production and health of sheep in different grazing systems.
In sum, the PhD student will study: 1) Stakeholder experiences and views on sheep grazing. 2) Health and production of sheep. 3) The sustainability of sheep grazing within each system, and overall, by using a multi-criteria analysis.
The candidate’s main supervisor will be Associate professor Cecilie Dyngeland. Co-supervisors will be Associate professors Morten Tofastrud, Mari Reiten (all at INN) and Senior Researcher Bjørn Egil Flø, NIBIO.
It is a requirement that the PhD research fellow qualifies for admission to the University's PhD programme in Applied ecology. Applicants who already hold a PhD will not be considered.
To be admitted to the doctoral program, the applicant must normally have a minimum master's degree or master's level (120 credits, §3 master's in the Norwegian system) or equivalent education, within agricultural sciences, social sciences, biology, ecology, environmental sciences , or other relevant subject areas.
Furthermore, you must have a strong academic background from your previous studies, ie. the average grade should normally be B or better from the master's program (120 credits) or equivalent education. Calculation of the average grade is based on the credits for each course and for the master's thesis. Applicants with weaker grades than what is normally required for admission must document that they will be able to complete a doctoral degree. In cases where the education has been approved with the use of the grades passed / failed, the applicant is admitted after an individual assessment. If you have education from abroad, you can contact NOKUT for approval of your education, alternatively a similar assessment will be made in connection with the application process.
The position will require previous experience from relevant fieldwork, collection of both quantitative and qualitative data (e.g. interviews) and experience in statistical analysis. We expect the candidate to be passionate about doing research, and to be willing to develop the skills to communicate this passion with other scientists, farmers and the general public. A further preference will be given to candidates with good teamwork characteristics and communication skills, and documented peer-reviewed scientific publications or other writing experience.
Applicants must be proficient in both written and oral English. Applicants from non-English-speaking countries must document English competence through an approved test (TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
Applicants must have excellent communication skills in a Scandinavian language, both oral and written.
Evaluation of candidates for the position will be based on a total assessment of educational background, experience and personal suitability, as well as motivation and other eligibility requirements, as defined in the advertisement. In addition, the following will be emphasized: quality of the project description, documented independent research and development work or experience relevant to the project.
How to apply
Your application must include:
Application letter including a brief account of the applicant's research interests and motivation for applying for the position
CV detailing your relevant educational background and experience (registered in Jobbnorge's form).
Copies of academic diplomas and transcripts (A certified English translation of all educational documents is required unless the documents are in Norwegian.)
A list of publications.
The names and contact information for two referees.
Any other documentation you would like us to consider.
Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility to ensure that all attachments are uploaded. Documents submitted after expiry of the deadline will not be considered in the evaluation of your application.
An exciting and challenging position at a developing institution
Position is paid and placed in position code 1017, PhD candidate in the Government Salary Scale
Membership in the Norwegian Public Service Pension, with among other things, good pension and insurance schemes.
For more information about INN University as an employer, please see here.
For further details about the position, please contact the main supervisor Cecilie Dyngeland, email: firstname.lastname@example.org
HINN believes that there is strength in inclusion and diversity. We desire employees with different competencies, professional combinations, life experiences and perspectives to contribute to an even better way of solving problems. We will facilitate for employees who need assitance to realise their goals. Relevant adaptations can be, for example, technical aids, adapting furniture or adjusting routines, work tasks and working hours.
If there are qualified applicants with disabilities, gaps in the CV or immigrant background, we shall call at least one applicant in each of these categories for an interview. In order to be considered as an applicant in these groups, the applicants must meet certain requirements. You can read more on this here.
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