Mechatronics Engineer
Laboratory of Integrative Brain Function
The Rockefeller University is the world’s leading
biomedical research University. Our
groundbreaking discoveries in basic and clinical
research are transforming medicine. We share a
singular commitment to advancing science for the
benefit of humanity. Our collaborative culture
drives each of us to achieve a higher level,
fueling the breakthroughs for which we are known.
The Position
You will be a jack-of-all-trades engineer,
developing and supporting custom
software/hardware systems for behavioral and
neurophysiological experiments in fruit flies.
The position will entail extensive software
development–– primarily in Python, C++, and
Matlab on Linux and Windows platforms––working
with soft and hard real-time systems. A comfort
with, and basic understanding of, mechanical and
electronic-circuit design, alongside fabrication
methods (milling, lathing, etc.) is also expected.
Specific experience, aside from facility in
programming across multiple languages, is less
important than a comfort working independently
and an interest in assimilating new information
for the sake of accomplishing complete project
cycles. The laboratory extensively uses open-source software and hardware.
Specific initial responsibilities include:
· Maintaining and extending upon a
virtual-reality system that combines real-time
video-image analysis of insect behavior,
presentation of 3D virtual reality stimuli with
LED displays or projectors and physiological
data-acquisition of neuronal activity
· Developing a flexible, real-time
software platform––likely using Robot Operating
System (ROS)––to facilitate the behavioral and neurophysiological experiments
· Developing efficient machine vision
algorithms to extract insect behaviors in real time and offline
· Extending upon existing
image-registration routines to align neural
imaging data from experiments across multiple insects
· Depending on expertise and interest,
other projects may involve design and
manufacturing tiny plastic platforms for
restraining insects (micro-machined with CNC
mills), optical systems for biological imaging
applications, and manufacturing simple electronic
devices for measuring insect behavior (utilizing
Atmel microcontrollers and custom-designed printed circuit boards)
· Performing complete project cycles,
from design to fabrication, with support from a
small engineering core in the university’s fabrication and machining facility
You Have
· A Bachelor's degree (or higher) in engineering, math or physics
· An interest in neuroscience
· An interest in working with and
training biologists on engineering approaches
· A willingness and ability to rapidly
assimilate new fields of knowledge, from machine
vision algorithms to electronic circuit design,
for the purpose of building functional
electro-mechanical devices or completing medium-sized coding projects.
You Are
· Comfortable writing code in multiple
languages including Python, C++, and Matlab and
designing and building small mechanical and electronic devices
· Comfortable rapidly assimilating new
information for the purpose of solving varied
computational and design challenges.
· Detail-oriented, accurate, and precise
Our Laboratory
The Maimon lab aims to link the electrical
activity of neurons and the biochemical action of
molecules to their computational roles in animal
behavior. The lab has a particular interest in
understanding how central brain structures,
distant from the sensory and motor periphery, govern behavioral choice.
How to Apply
We offer a competitive salary, comprehensive
benefits, and a collaborative, intellectually stimulating work environment.
Please visit the URL below and apply to job code
‘IRC20409’. Please make sure to upload your
resume and a cover letter/statement of interest.
<
https://www.rockefeller.edu/human-resources/staff-opportunities/>
https://www.rockefeller.edu/human-resources/staff-opportunities/
The Rockefeller University is an Equal
Opportunity Employer - Minorities/Women/Disabled/Veterans
S
- - - - - - - - - - - - - - - - - - -
Potential applicants should communicate directly
with the contact listed in the posting. Please
do not "reply" to the posting messages.
Job postings are archived at
http://www-design.stanford.edu/~ddivjobs/
Note: The job postings distribution list
contains several distribution lists: Design grad
students, ME310 alumni, ME218 alumni, ME jobs
list, etc. Members of multiple lists will
receive multiple copies of postings. Please
excuse the duplication. Thank you.
Received on 2017-10-02 14:05:55