We aim to measure the changes in phenology of important northern species using field data, including automatic acoustic systems. The project will be a combination of bioacoustics programing, population monitoring, and experimental manipulation. The project will be at the forefront of research in the fields of ecology, bioacoustics, and machine learning. Many applied outputs of the project are anticipated and so are the job opportunities after the completion of the project because the fields of artificial intelligence and applied ecology are thriving.Research question: To determine and model the impact of climatic variability on the phenology of Arctic breeding birds.
Supervision: Nicolas Lecomte, Éric Hervet, Marie-Andrée Giroux, Université de Moncton, New Brunswick, Canada.
Contributors: Joël Bêty (UQAR), Jean-François Therrien (Hawk Mountain), Gilles Gauthier (Université Laval), Cornell Lab of Ornithology, Arctic University of Norway
Qualifications and skills:
- Team spirit and initiative
- Academic record to apply for a grant from NSERC and / or FQRNT
- Ability to work in remote areas
- Interest in quantitative analyses
- Good organizational skills and rigour in scientific reasoning
- Good writing skills (English and French)
- Master of R software and other common programming languages (Python, C++, Matlab)
- Ability to work on artificial intelligence algorithms
- Be ready to enroll in a Ph.D program starting in fall 2017
Eligibility: Must have completed a MSc in biology, ecology, applied mathematics, computer science or any related field.
How and when to apply?
The application documents are: a letter of motivation (maximum one page), a CV including the contact information of two references (maximum 2 pages), and all academic transcripts. Applications must be sent to Nicolas Lecomte (Nicolas.Lecomte@umoncton.ca) before March 30, 2017.
Note: Registration to the Ph.D. program in life sciences at Université de Moncton is free for Canadian citizens and Permanent residents of Canada.