[visionlist] RA Position - TarrLab at Carnegie Mellon

[Michael J. Tarr]

Dr. Michael Tarr's laboratory at Carnegie Mellon University 
(http://tarrlab.cnbc.cmu.edu/) is seeking a full-time research assistant 
to begin as early as September, 2012 for a 1year, renewable appointment. 
The TarrLab's research focuses on topics in high-level vision such as 
face, object, motion and scene perception, investigated with 
neuroimaging and behavioral techniques (including fMRI, diffusion 
imaging, and MEG), and leveraging analysis methods that utilize machine 
learning and modeling. A successful candidate will assist with all 
aspects of research in the lab, from experiment programming, data 
collection, data analysis, and publication. Responsibilities include but 
are not limited to: assisting with programming in Psychophysics Toolbox, 
generation of stimuli including 3D graphics and animations, recruiting 
participants and collecting behavioral data, assisting with fMRI data 
collection and processing, helping maintain and organize lab resources 
such as computers/software and data, and administrative management of 
the lab including IRB and participant payment.

Requirements include:
-BS or BA in psychology, neuroscience, engineering, biology, or a 
related field.
-Prior undergraduate research experience.
-Strong interpersonal skills and an ability to effectively recruit and 
work with participants (including special populations), and other 
members of the lab.
-Very strong computer skills including prior programming experience in 
Matlab.
-Excellent organization skills and the ability to work independently on 
and solve substantial problems.
-Basic statistical knowledge

Strongly desired qualifications:
-Programming experience with Psychophysics Toolbox in Matlab.
-Experience with 3D computer graphics and animation in software packages 
such as Maya or 3DStudio Max.
-Familiarity with Linux, shell scripting, and OSX.
-Prior experience in running behavioral psychology studies and/or fMRI 
studies, and data management.

The TarrLab is part of the Center for the Neural Basis of Cognition 
(http://www.cnbc.cmu.edu/) that uses cutting edge research to 
investigate neuroscience with a cross-university, cross-departmental, 
initiative. Pittsburgh is a city with a vibrant and collaborative 
research community that includes Carnegie Mellon University, the 
University of Pittsburgh, and the University of Pittsburgh Medical 
Center. TarrLab has collaborative projects with other laboratories in 
the Psychology Department at CMU, Computer Science, Statistics, Machine 
Learning, and Univ. of Pittsburgh Medical Center. Over the past two 
decades Pittsburgh has re-invented itself as research, educational and 
medical hub, with a vibrant arts scene, sports teams, extensive urban 
parks system and great restaurants and neighborhoods while still 
maintaining a very affordable cost of living. This position is an 
excellent opportunity for a motivated and skilled candidate to gain 
research experience and exposure to top researchers in a variety of fields.

To apply, please use the Carnegie Mellon online job application system 
at http://www.cmu.edu/jobs. Search for job number 9473. When applying, 
include a cover letter including a description of research interests, 
qualifications, future goals, and available start date, a CV (including 
details on relevant coursework, computer skills and research 
experience), and contact information for 2-3 references. If you have 
further questions email: michaeltarr at cmu.edu.

Carnegie Mellon University, an Equal Opportunity/Affirmative Action 
Employer, encourages the applications from women, under-represented 
minorities, individuals with disabilities and veterans.

Carnegie Mellon University does not discriminate in admission, 
employment, or administration of its programs or activities on the basis 
of race, color, national origin, sex, handicap or disability, age, 
sexual orientation, gender identity, religion, creed, ancestry, belief, 
veteran status, or genetic information.  Furthermore, Carnegie Mellon 
University does not discriminate and is required not to discriminate in 
violation of federal, state, or local laws or executive orders.