Machine Learning Engineer - Data Science Resource Center
Company: Rockefeller University
Location: New York
Posted on: May 2, 2024
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Job Description:
Organization Overview: Many of our most sophisticated cognitive
abilities are thought to have evolved to subserve social
interactions, yet the underlying computations that make these
interactions possible, in all their complexity and nuance, remain
elusive. The Price Family Center for the Social Brain (PFCSB) at
The Rockefeller University was therefore established to map the
molecular, cellular and circuit mechanisms of social behavior and
to use these insights to forge new links between basic and applied
neuroscience, with the ultimate goal to alleviate impairments of
social brain function. Central to the PFCSB's ambitious goal is to
leverage and build on recent advances in AI-based Computer Vision
technologies to characterize the detailed behavioral dynamics of
interacting pairs and populations of animals. The Data Science
Resource Center (DSRC) at The Rockefeller University will work in
close collaboration with Price Center scientists to advance these
research objectives with the development of novel machine learning
and artificial intelligence (ML/AI) algorithms that can shed light
on the fundamental building blocks of social behaviors. The
newly-created Data Science Resource Center (DSRC) is responsible
for supporting and advancing the research objectives of The
Rockefeller University's faculty and staff. Overview:The PFCSB aims
to elucidate the neural and behavioral algorithms of social
behavior across a wide array of species, from ants and flies to
songbirds and primates. Fulfilling this mission will require, among
many innovations, the development and implementation of powerful
technologies to study neural activity in socially interacting
animals, in real time.Reporting to Dr. Paolo Emilio Barbano,
Director of the DSC and advised by Dr. Vanessa Ruta, Director of
the PFCSB, the ideal candidate will work in close collaboration
with neuroscientists across nine core labs to research, develop and
implement innovative approaches and create end-to-end pipelines to
detect, track and analyze the behavior of animals both in
controlled laboratory settings and in more complex natural
landscapes.We welcome applications from creative, highly motivated,
and ambitious candidates interested in pursuing projects based on
their own ideas or within the existing lines of work at the
interface of experimental and computational system
neuroscience.Responsibilities:Responsibilities include:Research,
implement, and deploy state-of-the-art CV algorithms and systems
for the identification, tracking and analysis of animal
behaviorBuild prototypes and explore conceptually innovative
solutionsWork at creating CV and predictive ML workflows in close
collaboration with members of the nine laboratories that form the
core of the PFCSB (Dr. Vanessa Ruta, Laboratory of Neurophysiology
and Behavior, Dr. Winrich Freiwald, Laboratory of Neural Systems,
Dr. Cori Bargmann, Lulu and Anthony Wang Laboratory of Neural
Circuits and Behavior, Dr. Leslie Vosshall, Laboratory of
Neurogenetics and Behavior, Dr. Erich Jarvis, Laboratory of
Neurogenetics of Language, Dr. Priya Rajasethupathy, Laboratory of
Neural Dynamics and Cognition, Dr. Alipasha Vaziri, Laboratory of
Neurotechnology and Biophysics, and Dr. Michael Young, Laboratory
of Genetics)Other duties and special projects as
assigned.Qualifications:RequirementsPh.D. in Computer Vision,
Neuroscience, Computer Science, physics, EE or related
fieldCandidate must be highly motivated, ambitious, and creativeThe
Rockefeller University does not discriminate in employment on the
basis of race, color, religion, sex (including pregnancy, gender
identity), national origin, political affiliation, sexual
orientation, marital status, disability, genetic information, age,
membership in an employee organization, retaliation, parental
status, military service or other non-merit factor. All qualified
applicants will receive consideration for employment without regard
to the characteristics listed above.The salary of the finalist
selected for this role will be set based on various factors,
including but not limited to organizational budgets,
qualifications, experience, education, licenses, specialty, and
training. The hiring range provided represents The Rockefeller
University's good faith and reasonable estimate of the range of
possible compensation at the time of posting.Compensation Range:
Min: USD $70,000.00/Yr. Compensation Range: Max: USD
$130,000.00/Yr.by Jobble
Keywords: Rockefeller University, Westport , Machine Learning Engineer - Data Science Resource Center, Engineering , New York, Connecticut
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