Cino Pertoldi

Professor at Aalborg University

Aalborg University
Country flagDenmark

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Positions (1)

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Sussie Pagh

University Name
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Aalborg University

Aalborg University’s Faculty of Engineering and Science, Department of Chemistry and Bioscience, invites applications for a fully funded PhD stipend in Environmental Biomonitoring. The position is part of the doctoral program in Biotechnology, Chemistry and Environmental Engineering, and is based in Aalborg, Denmark. The successful candidate will join the 'Environmental Biomonitoring' research group, a dynamic and internationally recognized team with access to state-of-the-art laboratory facilities and strong academic and public sector collaborations. This three-year research project centers on monitoring the movements and behavior of red deer in Vejlerne using advanced drone technology and AI-based data analysis. Key tasks include mapping reed bed dynamics and deer trails, comparing current patterns with historical aerial imagery, and assessing the resilience of reed beds under grazing pressure and climate change. The candidate will plan and conduct regular drone flights, process video data, and apply AI models to enhance population and behavioral analyses. The project integrates fieldwork with statistical and spatial analysis using RStudio and GIS tools. Beyond research, the PhD student will publish findings in national and international journals, participate in outreach activities, and contribute to supervising student projects. Teaching responsibilities within ecology and biology, as well as involvement in project-based student research, are expected. All educational programs at Aalborg University are based on Problem Based Learning, emphasizing student research projects each semester. An external research stay at another European university is anticipated during the PhD. Supervision will be provided by Senior Researcher Sussie Pagh and Professor Cino Pertoldi. The ideal candidate will have experience with wildlife monitoring techniques such as thermal drones and AI modeling, and be proficient in Python, RStudio, YOLO, SLEAP, LabGym, and GIS tools. Strong Danish and English language skills are preferred, as dissemination through lectures and popular science articles is part of the role. Applicants must hold a Master's degree and will be enrolled as a PhD student at the Doctoral School of Engineering and Science, in accordance with Danish Ministerial regulations. The stipend covers three years of salary and employment terms as per the AC collective agreement. The department offers a supportive, inclusive, and flexible work environment, with a culture of openness, curiosity, and collaboration. To apply, submit your application, CV, diplomas, and other relevant documents via Aalborg University's recruitment system. The application should detail your motivation and qualifications. For further information, visit the department website or contact the supervisors listed in the job post. The application deadline is February 1, 2025, or as soon as possible thereafter. All applicants will be informed about the shortlisting process and assessment outcomes. This opportunity is ideal for candidates passionate about environmental science, wildlife monitoring, and the application of cutting-edge technology in ecological research.

8 months ago

Articles (10)

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Collaborators (13)

Peter Povlsen

Aalborg University

DENMARK
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Petar Durdevic

Aalborg University

DENMARK
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Carsten Gundlach

Technical University of Denmark

DENMARK
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Stine Karstenskov Østergaard

Aalborg University

DENMARK
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Line Holm Andersen

Assistant professor

Aalborg University

DENMARK
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Trine Hammer Jensen

Aalborg University

DENMARK
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Simon Bahrndorff

Aalborg University

DENMARK
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Aage Kristian Olsen Alstrup

Aarhus University

DENMARK
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Jeppe Lund Nielsen

Aalborg University

DENMARK
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Sophie Lund Rasmussen

Aalborg University

DENMARK
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Kristian Murphy Gregersen

Teaching Associate Professor

The Royal Danish Academy of Fine Arts, School of Architecture, Design and Conservation

DENMARK
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Dan Bruhn

Aalborg University

DENMARK
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Marta Kołodziej-Sobocińska

Professor MRI PAS, PhD

Mammal Research Institute

POLAND
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