PhD within applied ecology: Quantifying and mapping illegal mortality of large carnivores
Deadline: 15.10.2024
Publisert
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About The Faculty of Environmental Sciences and Natural Resource Management
The Faculty of Environmental Sciences and Natural Resource Management (MINA) works with nature and the environment, sustainable use of natural resources, biological and geological processes.
MINA’s employees undertake teaching, research and dissemination within the fields of geology, hydrology and limnology, soil science, environmental chemistry, forestry, ecology, natural resource management, renewable energy, and nature-based tourism.
Our vision is to be a key actor in knowledge production and dissemination, and our goal is to deliver research of high, international quality, and varied and excellent teaching. The faculty’s employees are significant participants within their respective fields of expertise, both nationally and internationally. The faculty is dominated by a vital research culture and high levels of scientific production.
The faculty has about 200 employees, 90 PhD students and 650 students.
Do you want to develop AI and other modern methods to detect illegal mortality of wild carnivores?
About the position
Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD position in Applied Ecology with the following topic: Using artificial intelligence and hierarchical models to detect, quantify, and map cryptic mortality in large carnivore populations in Scandinavia.
Illegal killing of wildlife is a global phenomenon with substantial impacts on biodiversity and wildlife management. Due to its cryptic nature, most illegal deaths remain undetected. This severely limits our ability to understand the drivers of illegal killing, its importance for the dynamics of wildlife populations, as well as the best ways to mitigate its impacts. In this project, the PhD candidate will use advanced spatially explicit methods and multiple data sources to quantify and map hidden mortality in large carnivore populations in Norway and Sweden. A promising approach are hybrid models integrating both spatiotemporal deep learning and hierarchical structure.
A comprehensive approach will be achieved through collaboration with ecologists (Applied Quantitative Ecology Group at MINA), data scientists (AI/deep learning at Faculty of Science and Technology (REALTEK)), computer scientists (high-throughput computation, University of Berkeley) as well as wildlife management agencies in Norway and Sweden. The aim of the PhD project is to advance our ability to measure and map cryptic mortality in wild populations and aid management and law enforcement entities in focusing their limited investigative resources.
The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment.
The tentative position start date is January 1, 2025, but earlier and later start dates can be negotiated within reason.
Main tasks
The PhD student’s tasks will include:
Development and application of statistical and deep learning models
Screening and preparation of ecological and potentially law-enforcement data
Statistical analyses and writing scientific papers
Collaboration with other team members and partners
The PhD student will be involved in study design and development of specific research questions.
The successful candidate is expected to have a PhD education plan approved by MINA during the first months of the appointment and to complete a PhD within the PhD scholarship period.
Competence
The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree. The applicant must have a documented strong academic background from previous studies and be able to document proficiency in both written and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description.
Required Academic qualifications
Master´s degree within a relevant scientific field, e.g., mathematics/statistics, data science, quantitative ecology, bioinformatics.
Demonstrated quantitative skills.
The following experiences and skills will be emphasized:
Experience with developing, validating and applying AI/deep learning methods
Experience with developing and using Bayesian models
Experience with hierarchical models in Ecology
Personal characteristics important for the positions are:
Good social and collaboration skills
Ability to work and co-operate in an interdisciplinary working environment
Flexibility with respect to work tasks
Creativity and ability to find solutions to practical problems
Strong capabilities in English, and preferably a Scandinavian language, both orally and written
We support equality and diversity in research. When recruiting new lab members, including PhD students, we welcome all candidates and value the benefits of a team composed of people with a broad range of abilities, experiences, and backgrounds. We expect all team members to contribute toward a work environment that fosters inclusion, accessibility, and ease of collaboration.
Remuneration and further information
The position is placed in government pay scale position code 1017 PhD. Fellow. PhD. Fellows are normally placed in pay grade 54 (NOK 532.200, -) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.
Employment is conducted according to national guidelines for University and Technical College PhD scholars.
To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Application deadline: October 15, 2024
Your CV must be entered in JobbNorge's CV form and not just included as an attachment. This is to be able to comply with the regulations of §15 of the Public Administration Act.
In the application, the candidate must confirm that information and documentation (in the form of attachments) submitted via the job application can also be used by NMBU in a possible admission process.
Applicants invited for an interview are expected to present original diplomas and certificates.
The following documents must be attached to the application:
Motivation letter (maximum 1 page)
Complete CV
Certified copies of academic diplomas and certificates. (i.e. Diploma, transcript. Diploma supplement for both bachelor and master). Diplomas, transcripts and diploma supplements that are not in Norwegian or English must be uploaded in the original language. An English translation of these documents must also be attached.
Applicants from universities outside Norway are kindly requested to send a diploma supplement, or a similar document, which describes in detail the study program and grading system.
Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.
