BEMÆRK: Ansøgningsfristen er overskredet
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Ecoscience programme. The position is available from 1 July 2023 or later.
Title
Develop and implement image-based tools for pollinator monitoring
Research area and project description
The European Pollinator Initiative is taken in response to evidence of declining populations of wild pollinators. Their first objective is to improve knowledge of pollinator decline, its causes and consequences. While the evidence base for these declines is particularly clear for butterflies, there are large geographic and taxonomic gaps in our understanding, particularly for hoverflies, bees and moths. As the European Commission prepares for standardized pollinator monitoring across the continent, efficient monitoring tools need to be developed and applied.
Prototypes of image-based insect monitoring tools are emerging, but further work is needed to bring these tools closer to implementation at scale. While some pollinators can be effectively monitored with traditional trapping, other taxa are best observed while they visit flowers or when nocturnal insects are attracted to light. This project will develop image-analysis tools for both specimens-based and in situ observations of pollinators. Specimen-based work will focus on challenges related to hierarchical classification and anomaly detection, where model predictions can be tested against ground-truth information about species identities. Images from insect cameras will form the basis for solving challenges related to the detection of small objects against complex backgrounds. The project will work with field data collected across multiple EU countries to test analytical tools at large spatial scales for efficient imaging and species identification.
For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Qualifications and specific competences
Applicants must have a relevant Master’s degree or at least one year of a Master’s degree in biology, computer science or software engineering.
We are looking for a candidate with excellent skills in computer vision and the extraction of ecological information from image data. In particular, proficiency in programming in Python and R is a prerequisite. A strong motivation and ability to work in an interdisciplinary team of biologists and engineers is important.
Together with an interdisciplinary and international team, the project intends to pave the way for scalable image-based methods to address fundamental questions in biodiversity and conservation. An important task is therefore to be able to communicate and collaborate with a wide range of collaborators and stakeholders.
Place of employment and place of work
The place of employment is Aarhus University, and the place of work is Department of Ecoscience, Biodiversity, C.F. Møllers Allé 8, 8000 Aarhus C
Contacts:
Applicants seeking further information are invited to contact:
Toke Thomas Høye, tth@ecos.au.dk
How to apply
Please follow this link to submit your application. Application deadline is 31 May 2023 23:59 CEST. Preferred starting date is 1 July 2023 or soon thereafter.
For information about application requirements and mandatory attachments, please see our application guide.
Please note:
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, C.F. Møllers Allé 8, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 31-05-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: https://app.researchplanner.net/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=16581&VacatureID=1083031
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5837446
