[Eeglablist] Postdoctoral research and lab manager positions at SCCN, La Jolla CA and Aberdeen, MD

[Scott Makeig]

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Several positions are now available at the Swartz Center, UCSD and at ARL
Aberdeen, Maryland in a large  collaborative project on cognitive monitoring
using concurrent EEG, behavioral, and environmental data. Please forward
this message to qualified potential applicants.


Contact Scott Makeig    (smakeig at ucsd.edu)
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*Mobile Brain/body Imaging laboratory manager*: A senior scientific research
associate will work with faculty researchers to develop and supervise two
innovative, spatially adjacent laboratories for conducting new experiments
in Mobile Brain/body Imaging (MoBI) combining concurrent high-density EEG,
body motion capture, eye tracking, scene recording, and psychophysiology
measurements. The lab manager will develop hardware and facilities plans
with PIs and experimenters, will coordinate purchase and integration of
equipment and software, manage lab scheduling, archiving and preprocessing
of the data, and will supervise laboratory technicians who schedule and
conduct experiments and maintain laboratory supplies.

*Postdoctoral researchers *: Four postdoctoral positions are now available
at the Swartz Center for Computational Neuroscience under a basic research
project, "Cognition and Neuroergonomics," to develop neurocognitive
monitoring based on simultaneous high-density EEG, body motion capture, eye
tracking, and psychophysiological data recording and analysis for and with
the Army Research Laboratory, Aberdeen, Maryland.

*1. Statistical analysis of multimodal brain/body imaging data. *This
researcher will work with Scott Makeig and a multi-disciplinary team of
Swartz Center, UCSD, and other university and ARL researchers to develop,
implement, and apply *methods to fuse and mine multimodal mobile brain/body
imaging (MoBI) data for information about arousal, distribution of
attention, evaluation of events, motivation, and behavioral intent* of
operators working in information-rich, enclosed control environments.
Methods to be employed include sparse and complete independent component
analysis (ICA), related non-stationary factor analysis, and distributional
data modeling. Requirements include a PhD in mathematics, statistics, signal
processing, or related field with a concentration in modeling and
statistical signal processing and machine learning / data mining methods.

*2. Brain dynamics supporting active vision. *This researcher will work with
Scott Makeig and a multi-disciplinary team of Swartz Center, UCSD, other
university and ARL researchers to develop, implement, and apply methods for
fusing task, sensory, and eye tracking information with simultaneously
recorded EEG and body motion capture data to *better describe the
macroscopic EEG brain dynamics supporting active vision*, with a goal of
developing basic principles underlying use of concurrent EEG and eye
tracking data for monitoring operators working in information-rich, enclosed
control environments. Requirements include a PhD in cognitive science,
biomedical engineering, or related field with a concentration or significant
experience in modeling, signal processing, and statistical data mining
methods.

*3. Brain dynamics supporting motivated behavior. *This researcher will work
with Scott Makeig and a multi-disciplinary team of Swartz Center, UCSD, and
other university and ARL researchers to develop, implement, and apply
methods for fusing task, sensory, body motion capture, and electromyographic
(EMG) data with concurrent eye tracking, psychophysiological and
high-density EEG to *better model the task-motivated motor behavior of
operators and the macroscopic EEG brain dynamics supporting that behavior*,
with a goal of developing basic principles underlying use of concurrent EEG
and body motion data for monitoring the cognition of operators working in
information-rich, enclosed control environments. Requirements include a PhD
in biomechanics, biomedical engineering, neuroscience, or related field with
a concentration or in depth experience in modeling and statistical signal
processing and machine learning methods.

*4. EEG brain dynamics supporting active cognition. *This researcher will
work with Scott Makeig and a multi-disciplinary team of Swartz Center, UCSD,
and other university and ARL researchers to develop, implement, and apply
methods for fusing task, sensory, and high-density EEG information with
simultaneously recorded eye tracking and body motion capture data to *better
describe the non-stationary distributed EEG brain dynamics supporting task
performance*, with a goal of developing basic principles for cognitive
monitoring of operators working in information-rich, enclosed control
environments. Requirements include a PhD in cognitive science, engineering,
or related field with a concentration or in depth experience in modeling and
statistical signal processing / machine learning methods.

*Three researchers based primarily at Army Research Laboratories, Aberdeen,
Maryland, *with allowance for up to 3 months per year of collaborative
research at UCSD or other project partners in San Antonio Texas, Ann Arbor
Michigan, Taiwan, Osnabruck Germany and/or elsewhere. Funding for these
positions will be available for 5-10 years, with transitions to civil
service employment possible. Candidates must have a PhD in a relevant
discipline and should be US citizens. These researchers will collaborate in
developing and implementing the advanced methods of data recording and
analysis with project groups at UCSD and other universities, while
collaborating with ARL researchers to design, perform, and analyze parallel
basic and applied research studies. Areas of research may include
programming of numerical, parallel GPU-based analysis and real-time
interactive data collection software, cognitive science or bioengineering
with an emphasis on data modeling and machine learning, or a related area.
Applications from both new PhD and more senior researchers will be
considered.

-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation, University of
California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott
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