[visionlist] Ad for Postdoc in Cognitive/ Vision Science at Lehigh University

[Nancy Carlisle]

Please see below for position in Cognitive/Vision Science...

Postdoctoral Positions

Nano/Human Interfaces Initiative


Applications are invited for four (4) postdoctoral positions at Lehigh
University as part of its new Nano/Human Interfaces (NHI) Initiative.
Inspired by the National Science Foundation’s “big ideas” for research in
the coming decade, Lehigh has established a presidential-level initiative
to work at the human-technology frontier, harnessing big data in support of
21st Century Science and Engineering (https://www1.lehigh.edu/news/
nanohuman-interface).  The Lehigh NHI Initiative aims to develop new
approaches to the science of nanoscale materials interfaces by exploring
and exploiting data analytics, machine learning, and human-machine
interfaces.  We specifically target problems of materials interfaces that
are inherently data intensive and require fundamentally new methods for
visualizing and interpreting vast amount of data.  Our larger goal is to
explore data-based methods that will lead the next revolution in the
conduct of science, namely drawing inferences from large datasets whether
experimentally or computationally generated.

We seek four outstanding candidates in the following interdisciplinary
areas who will comprise a highly-collaborative team that will work to
advance this exciting initiative.


   -

   *Biological Macromolecules at Interfaces*


This researcher will combine data analytic, experimental and computer
simulation methods to discover functional biological macromolecule
sequences at interfaces.  Successful applicants will bring some combination
of the following skills: data analytics, machine learning, bioinformatics,
biomolecular engineering, and bioengineering, and will be expected to work
collaboratively with PIs at Lehigh and with external partners.


   -

   *Multiscale Electron Microscopy for Materials Characterization*


This researcher will actively explore interfaces in nanocrystalline
materials by the development of new methods of big-data acquisition and by
the analysis of sequential images, diffraction patterns and spectrometric
data sets.  In addition, in partnership with data scientists, this
researcher will explore novel approaches to visualizing big data sets
generated by advanced aberration-corrected microscopy with the aim of
developing an interactive, computer-assisted data acquisition and analysis
capability.


   -

   *Cognitive and/or Vision Science*


This researcher will apply techniques in cognitive control, attention,
and/or visual cognition to investigate the inherent limits in cognitive
mechanisms that inform the optimal design and presentation of
multidimensional data.  As a corollary, we wish to determine how conducting
research within a complex, real-world work environment can serve to advance
the basic understanding of cognitive processes.  The position will include
opportunities to gain experience in multidisciplinary and use-inspired
basic research, to build skills in data analytics and machine learning, and
to receive training in scientific communication, grant writing, team
management and mentoring. Experience with eye tracking techniques and a
strong programming background are highly desirable.


   -

   *Data Science and Human/Computer Interactions*


This researcher will apply techniques in Machine Learning/Data Science, as
well as in the analysis of imaging/geometric data, to develop novel
techniques that prevent crucial observations in data sets from being
overlooked or to enable non-computational researchers to explore
interactively large, multidimensional multiresolution image data.  It is
expected that applicants will have significant first author publications in
data science, machine learning, image recognition, or a related topic.

Successful applicants will have a Ph.D. in a relevant field of the physical
sciences, engineering, applied mathematics and/or cognitive psychology and
the cognitive sciences.  In addition, demonstrated proficiency in verbal
and written communication skills and the ability to work in a
collaborative, multidisciplinary team are required.  Interested applicants
should prepare a cover letter, curriculum vita, a brief statement of
research accomplishments and contact information for at least three
references.  Compensation will be commensurate with experience.  Review of
applications will begin immediately and will continue until the positions
are filled.  *Please email completed application materials to Ms. Sue
Stetler, Department of Materials Science and Engineering, Whitaker
Laboratory, Lehigh University, Bethlehem PA 18017 (USA); sls4 at lehigh.edu
<sls4 at lehigh.edu>.*

Lehigh University is an affirmative action/equal opportunity employer and
does not discriminate on the basis of age, color, disability, gender,
gender identity, genetic information, marital status, national or ethnic
origin, race, religion, sexual orientation, or veteran status.   Lehigh
University is a 2010 recipient of an NSF ADVANCE Institutional
Transformation Grant for promoting the careers of women in academic science
and engineering.  Lehigh University provides comprehensive benefits
including domestic partner benefits (see also http://www.lehigh.edu/
worklifebalance/).  Lehigh Valley Inter-regional Networking & Connecting
(LINC) is a newly created regional network of diverse organizations
designed to assist new hires with dual career, community and cultural
transition needs. Please contact infdcap at lehigh.edu for more information.
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