Doctorado en Noruega en recogida y puesta en común de datos - mucho trabajo de campo

Oferta compartida por Cristina

About the project


The PhD project will focus on the issue of data sharing. The first part of the project has a social science focus and will explore the technical and social issues that enable, promote or hinder the sharing of data – with a focus on institutionalized data, such as research institutions and universities, semi-structured data, such as that collected by NGOs or small organisations / associations, and unstructured data, such as that collected by individual stakeholders or citizen scientists. A particular emphasis will be placed on hunters as an often-neglected group of citizen scientists. The second part of the project will focus on demonstrating the challenges and benefits of integrating diverse data sets, such as structured and unstructured data, in order to produce improved ecological inference. Large datasets are available, but there will be a need to integrate them for analysis.

The candidate’s main supervisor will be Associate professor Torfinn Jahren at INN. A large team of co-supervisors will contribute to different parts of the project. Professor John Linnell at INN will also play a major supporting role for certain parts of thesis and to ensure its integration into the wider project. In addition, Olivier Devineau and Petra Kaczensky at INN, Neri Horntvedt Thorsen from the Norwegian Institute of Nature Research, and Tim Hofmeester from the Swedish University of Agriculture will contribute their diverse skills to help the candidate as required.

Qualifications


To be admitted to the doctoral program, the applicant must have a master's degree or master's level based on a 5-year cumulative period of study (including the Bachelor’s degree) or equivalent education, within Environmental Science, Zoology, Ecology, Geography, Biostatistics or other relevant subject areas.

Furthermore, you must have a strong academic background from your previous studies, ie. the average grade should 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 a willingness to adopt an interdisciplinary approach. This will require good quantitative skills and the use of basic social science methods such as interviews and questionnaires, as well as an understanding of wildlife ecology, behavior and management. It will be essential for the candidate to participate in at least some fieldwork associated with camera trapping in boreal forest settings in both winter and summer. Campus Evenstad is in an isolated rural setting, so the candidate should ideally have a strong interest in outdoor recreation and nature-based activities and be willing to live in a very isolated rural setting. We expect the candidate to be able to work within a team of fellow PhD and postdoctoral scholars from multiple institutions and with multiple supervisors that are working on related and supporting topics, as well as take part in the professional and social life at Campus Evenstad. There will also be a need for the candidate to interact with stakeholders and citizen scientists.

There is a requirement that the candidate has: Documented experience with the quantitative analysis of ecological, or sociological, data.
Experience with the statistical software R (or equivalent).
A driving license for car
Good teamwork characteristics and communication skills

A preference will be given to candidates with: Documented experience or familiarity with the analysis of spatial data using tools such as occupancy modelling, species distribution or habitat modeling, or structured equation modelling.
Experience of working with interdisciplinary projects, social science approaches and / or with databases.
Documented scientific publications or other writing experience.
Previous fieldwork experience and / or good outdoor skills (including winter experience).
A familiarity with hunters, hunting, foresters or forestry.
Good language skills (including knowledge of multiple European languages).

Furthermore, emphasis is placed on the following attributes:Professional and personal prerequisites for completing the doctoral degree program within the employment period.
The ability to work independently and demonstrate good collaborative skills.
The ability to work in a structured manner and having a large work capacity.
Solid theoretical insight and interest.

Language proficiency: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).

The project needs to start in early 2024 – so availability to start during late winter / early spring will also be given a priority.

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.

The position and associated tasks must be carried out in accordance with the applicable laws and regulations for government employees, including also the Act on Control of the Export of Strategic Goods, Services and Technology, etc. Candidates who, after assessment of the application and attachments, come into conflict with the criteria in the latter act, will not be able to take up the position at Inland Norway University of Applied Sciences. Necessary approvals must be maintained throughout the employment relationship.

How to apply


Your application must include:Application letter tat summarizes the candidate’s motivations and how their skills and experience meet the position requirements.
CV detailing your relevant educational background and work 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 complete list of scientific and other publications.
The names and full contact information for three references.


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.

We offer
A place in an ambitious and highly international environment.
A challenging and exciting project with opportunities for personal and scientific development.
An independent and flexible work setting that the successful candidate may to a large extent influence her/himself.
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.