Från: Toke Thomas Høye <tth@bios.au.dk>
Skickat: den 12 september 2018 14:12
Till: Toke Thomas Høye <tth@bios.au.dk>
Kopia: Alexandros Iosifidis <alexandros.iosifidis@eng.au.dk>
Ämne: PhD position available on tracking Arctic plant-pollinator interactions with computer vision methods
Dear colleagues,
I have an opening for a PhD position in a new collaborative project together with Alexandros Iosifidis and several international partners using image-based, machine learning methods to track Arctic plant-pollinator interactions in the context of climate change (application deadline 1 November 2018).
The project description is pasted below and the application procedure is found at this link:
Please spread the word.
All the best,
Toke
_______________________________________________________
Toke Thomas Høye, PhD
Senior scientist
Department of Bioscience, Aarhus University
Grenåvej 14, DK-8410 Rønde, Denmark
Phone: +45 87158892
www: personal, research group
Biotic interactions tracked by computer vision (BITCue)
Applications are invited for a PhD fellowship/scholarship at Graduate School of Science and Technology, Aarhus University, Denmark, within the Bioscience programme. The position is available from 1 February 2018 or later.
Title:
Biotic interactions tracked by computer vision (BITCue)
Research area and project description:
The project aims to quantify plant-pollinator interactions in unprecedented detail using computer vision and machine learning. Specifically, the project will test how sensitive such interactions are to local and large-scale climatic variation, and to the composition of the pollinator community. The project will also assess the importance of interaction strength for plant reproduction. Flower visitation rates will be quantified at uniquely high temporal resolution across the growing season using a large number of time-lapse cameras. The project focuses on a widespread, insect pollinated plant species and its flower visitors across multiple Arctic field sites covering contrasting climate conditions. The detailed quantification of biotic interactions will be used to identify the most important climatic factors for flower visitation rates and pollination. The project will pioneer phenological studies at the level of individual flowers and is expected to pave the way for the application of computer vision in the study of biotic interactions. The project lies at the intersection of climate change ecology, computer vision and machine learning and is one of several collaborative projects among researchers at the Department of Bioscience and the Department of Engineering at Aarhus University with partners in several other countries. The candidate will work in a dynamic research environment with ample opportunities to interact with other researchers on related topics.
Qualifications and specific competences:
Applicants to the PhD position should ideally have a Master’s degree in biology with strong expertise in population and community ecology and excellent quantitative skills. Applicants with a Master’s degree in software engineering or computer science, and an interest in applying computer vision and machine learning tools in ecology are also encouraged to apply. Programming experience in R, Matlab and/or Python is an advantage. The applicant must have excellent writing skills, be independent, and should be enthusiastic about working in an interdisciplinary academic environment. Experience with fieldwork under demanding environmental conditions is an asset.
Place of employment and place of work:
The PhD student will be enrolled in Graduate School of Science and Technology (GSST). The place of employment is Aarhus University, and the place of work is Department of Bioscience, Kalø, Grenåvej 14, DK-8410 Rønde, Denmark with affiliation to the Arctic Research Center at Aarhus University.
Contacts:
Applicants seeking further information are invited to contact: Senior Scientist Toke Thomas Høye, tth@bios.au.dk, +45 87158892, https://sites.google.com/site/hoyelab/ or Assistant Professor Alexandros Iosifidis, alexandros.iosifidis@eng.au.dk, +45 93508875.
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