The Bioacoustics Research Program at Cornell University's Lab of
Ornithology is a diverse group of biologists and engineers focused on
studying the natural soundscape and animal vocal signals. We currently
have a post-doctoral position available for development and
implementation of automatic detection and classification algorithms for
processing large quantities of animal and environmental acoustic data
from a variety of different marine and terrestrial habitats. These data
will form the foundation for many concurrent studies around the world
focused on the behavior, occurrence, distribution, migration patterns,
and impacts from anthropogenic activities on a wide range of
acoustically active species, including songbirds, shorebirds, marine
mammals, fishes, elephants and other fauna.
To be considered for this position, you must have a PhD in engineering
or related field, with particular focus in signal processing for
algorithms related to signal detection and classification; experience
writing highly complex computer code in MATLAB or other high-level
languages such as Java or C/C++; demonstrated ability to conduct
original research, from conception and literature review through
analysis and publishing; strong communication skills including
proficiency in written and spoken English; and the ability to work as
part of a multidisciplinary team of scientists. Experience with
acoustics and/or marine mammal research is preferred.
For more information on the position, please visit the Cornell
University jobs page
(https://cornellu.taleo.net/careersection/10161/jobdetail.ftl) and
search for position 14540.
For inquiries about position specifics, please contact Dr. Harold Cheyne
(tel: 607-254-6280, email: [email protected]).
To apply for this position, send a letter of application, complete
resume, list of references and academic transcripts to: Susan Taggart,
Cornell Lab of Ornithology, 159 Sapsuckers Woods Road, 283A Johnson
Center for Birds & Biodiversity, Ithaca, NY 14850 or by email to
[email protected].
Replies to this email will not be responded to.
