[visionlist] Postdoc Positions Available: Hacking Human Color Vision at UC Berkeley

[Austin John ROORDA]

Postdoc positions available at UC Berkeley in EECS and/or Vision Science
First application deadline: November 1st, 2020


*Adaptive optics imaging, computational imaging, basic vision science,
future display technology  *
Available postdoc positions are interdisciplinary between Berkeley's
department of Electrical Engineering and Computer Sciences (EECS), and the
Vision Science (VS) program in the School of Optometry.  Postdocs may be
appointed in either division or jointly in both.  Hires in both disciplines
are intended.

The project faculty are Ren Ng (EECS), Austin Roorda (VS) and William Tuten
(VS).  The project, called Oz Vision, conducts fundamental research in
computational imaging systems directed at the emerging area of retinal
stimulation at the level of individual photoreceptors, and associated
applications in basic vision science and future-looking display technology.
Representative research questions include: can we see colors beyond the
natural human color gamut?  Can we help a color-blind person perceive
"full" color?  Can we create a new class of display technology that
fundamentally extends human vision by building visual percepts
photoreceptor-by-photoreceptor?

The project includes multiple parts with high mobility and
cross-disciplinary opportunity for motivated candidates. Representative
project parts include:
- Apply machine learning in imaging the retina, classifying its cells, and
predicting its perpetual motion.
- Design and build a next-generation retina stimulation device involving
adaptive optics with one-photon and two-photon imaging/stimulation.
- Conduct human vision experiments to establish colorimetry for novel,
out-of-gamut colors.
- Develop low-latency software control to prototype next-generation color
displays by stimulating the retina at the level of individual
photoreceptors.
- Design and implement experiments to study the potential to boost the
dimensionality of human color perception.

The positions require a PhD in Computer Science, Optical Engineering,
Electrical Engineering, Vision Science or closely related fields. Deep
experience with some, but not all, of the following topics is necessary
(not in order of priority): optical engineering, imaging systems design,
low-latency software engineering, computer vision, computer graphics,
visual psychophysics, precision engineering, low-latency software, GPU
programming, optimization, machine learning. Ideal candidates will possess
outstanding communication skills, and talent for collaborating in and
leading an intellectually diverse team.

Multiple positions are funded for two years with a possibility of renewal
for a third year. The positions are available now and will be filled when a
suitable candidate is found. The first rolling deadline is November 1st,
2020.

Interested candidates can send informal inquiries to Ren Ng (
ren at berkeley.edu), or submit an application including CV, statement of
research experience and interests, and contact information for three
references.

The University of California is an equal opportunity and affirmative action
employer. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, or protected
veteran status.

Announcement with images: https://tinyurl.com/oz-postdocs

9292020

-- 
_______________________________
Austin Roorda, PhD,
Professor of Vision Science and Optometry
UC Berkeley School of Optometry
Berkeley, CA 94720-2020
tel: 510-642-2380      fax: 510-643-5109
labpage: https://vision.berkeley.edu/roordalab
VS graduate program: https://vision.berkeley.edu
Center for Innovation in Vision and Optics https:// <http://goog_634377911>
civo.berkeley.edu  <https://civo.berkeley.edu>
_________________________
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