[FieldTrip] UCSD SCCN Postdoctoral position in Computational Neuroscience of Complex Skill Acquisition

[Iversen, John]

Dear Fieldtrip List,

We're happy to announce a 2.5 year postdoctoral position (through August 2023) that will develop models of the neural dynamics of complex skill learning in humans using EEG, MoBI and visuo-haptic VR techniques in collaboration with the Tokyo Institute of Technology. It'll be a great opportunity to develop and apply novel quantitative and experimental skills in driving forward research on real-world behaviors. Details below. Apply at: https://apol-recruit.ucsd.edu/JPF02663

Please forward to any eligible candidates. We are especially looking for candidates with a strong background in computational motor control.

Best,

John

John R. Iversen, PhD
University of California, San Diego
Associate Director, Swartz Center for Computational Neuroscience
Institute for Neural Computation
9500 Gilman Dr #0559
La Jolla, CA 92093
jiversen at ucsd.edu<mailto:jiversen at ucsd.edu>


Postdoctoral Scholar - Computational Neuroscience of Complex Skill Acquisition
The Swartz Center for Computational Neuroscience, at the Institute for Neural Computation (INC), at the University of California San Diego is now accepting applications for a Postdoctoral Scholar to become an integral part of an NSF CRCNS / NICT funded international team studying complex skill acquisition using multimodal brain/body imaging methods. Together with a team at the Tokyo Institute of Technology, we are developing EEG and motion capture methods to describe the neurobehavioral dynamics of complex skill learning. This approach is married with a novel visuo-haptic VR system to simulate dynamic actions under reduced gravity, enabling the 'slow-motion' rehearsal of complex dynamic behaviors.
Project Abstract
The project aims to develop a neurobehavioral model of complex skill learning by integrating information from both brain activity and body movement in real time as participants learn real-world activities. The second aim studies ways to enhance learning of complex motor skills. The investigators have developed new visuo-haptic virtual reality (VR) systems that allow detailed interaction with virtual objects, complete with force feedback, to provide a convincing simulation of the real-world but with finer experimental control. This creative VR environment also can simulate changes in the gravitational field which allows using the neurobehavioral model to predict and test human behavior in non-standard environments, such as in space or in underwater applications
Project title: A computational neuroscience approach to skill acquisition and transfer from visuo-haptic VR to real-world
Project nickname: Juggling on the Moon
PI / Co-PIs: John R Iversen, Scott Makeig, Makoto Miyakoshi, SCCN
Japan PI and Co-PIs: Natsue Yoshimura, Hiroyuki Kambara, Hirokazu Tanaka, Takahiro Kagawa
Term: March 2021 - August 2023
Candidate qualifications
This postdoctoral position is a unique opportunity in the cognitive and computational neuroscience of complex skill learning.
Required Qualification: Doctorate degree or its equivalent in fields related to Computational or Cognitive Neuroscience. High technical competence in experiment design, quantitative analysis, and programming are required. Appointment is dependent on academic experience, scholarly achievements, skills and knowledge as they relate to the needs of the project. Candidates must be able to work remotely.
Preferred Qualifications: Our ideal candidate will have a strong background in the computational neuroscience of motor control or sensorimotor processing. Experience with EEG recording and analysis is preferred, but we are open to training train scientists interested in transitioning into the experimental study of neural dynamics. Commitment to mentoring and research training service to build equitable and diverse scholarly environment.


More information and application: https://apol-recruit.ucsd.edu/JPF02663



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