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SCCN Postdoctoral, Staff,

& Resident Fellow Positions

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 for fusing and mining 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.


Other positions that may be open to well-qualified and motivated applicants:

Neurodynamics of Social Interactions: A postdoctoral or UCSD pre-doctoral position is available in the Swartz Center for Computational Neuroscience, UCSD. This researcher will work with the Center director and staff to develop a program of experimental research on the neuroscience of interpersonal interactions using state-of-the-art EEG and video recording with full access to UCSD magnetoencephalographic, magnetic resonance, and other imaging facilities.

Neurodynamics of Musical Experience and Production: A postdoctoral or UCSD pre-doctoral position may become available in the Center to work with the Center director and staff to develop a new program of experimental research on the neuroscience of music experience and production using state-of-the-art EEG and video recording systems with full access to UCSD magnetoencephalographic, magnetic resonance, and other imaging facilities. Emphasis will be on relations between the elements of musical structure (rhythm & meter, melody, harmonic structure) and brain dynamics, and between brain dynamics and musical and emotional experience.

Neurodynamics Programmer/Analyst: Staff or postdoctoral opportunities exist for Matlab, C and Fortran programming of advanced EEG/MEG analysis methods involving inverse modeling, 3-D visualization, and non-parametric statistics.

Neurodynamics Modeling: Staff or postdoctoral opportunities exist for advanced biophysical modeling of EEG/MEG dyanmics in behavioral tasks.

Other Opportunities: A visiting fellow program is available at the Center. Fellows study the dynamics of cooperative activity in the human brain supporting a range of cognitive processes using EEG, MEG, fMRI and/or other imaging and behavioral data, either collected at the Center or brought from the fellow's home laboratory.

Center goals: Projects in the Center include studies of human cognitive processes including attention and memory, role of the anterior/posterior cingulate, time perception and emotional expression. Data acquisition includes high-density EEG, concurrent EEG, eye tracking, and body motion. Current analysis approaches include independent component and time-frequency analysis. For more information about the Center, visit http://sccn.ucsd.edu

Postdoctoral applicants should have: A focused interest in observing, modeling, and understanding human brain dynamics. Background in time series analysis and modeling and/or in experimental cognitive science is required, plus an interest in the complementary emphasis. Strong writing skills are a plus.

Research faculty: Research Scientists: Scott Makeig and Tzyy-Ping Jung.

To apply: Postdoctoral applicants should send (preferably by email) a letter describing their graduate and post-graduate training, research interests, and research-relevant skills. Also please include a CV, research bibliography and the names of three references.

Contact:

Scott Makeig, Director

Swartz Center for Computational Neuroscience

Institute for Neural Computation 0559

University of California San Diego

La Jolla, CA92093-0559

smakeig ucsd.edu

(858) 822-7537

http://sccn.ucsd.edu