Careers at Virginia Tech

Postdoctoral Associate (Computational Neuroscience)

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Work type: Research Faculty
Senior management: College of Science
Department: School of Neuroscience
Location: Blacksburg, Virginia
Categories: Research / Scientific

Job Description

The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a postdoctoral position in computational neuroscience. This position is for two years and is being funded by the Army Research Office (ARO). The research project will employ signal processing techniques and biophysically based computational models in conjunction with EEG experiments to examine the impact
of sounds played during sleep on brain dynamics.

Our lab investigates neural dynamics during active behavior and during off-line states, such as sleep, using a combination of computational modeling, signal processing techniques, and both invasive and non-invasive techniques for recording neural activity. The basic science knowledge gathered from these investigations is leveraged to understand how memories are instantiated in the brain, to gain insight into how learning occurs during brain-machine interface (BMI) tasks, and to develop the framework for stimulation and pharmacological therapies for diseases, especially those marked by abnormal neural dynamics during sleep (e.g., post-traumatic sleep disorder (PTSD) and Parkinson’s disease).

Required Qualifications

  • Candidates should have a Ph.D. in applied mathematics, computer science, engineering, neuroscience, psychology, or a related field. Ph.D. must be awarded no more than three years prior to the effective date of appointment with a minimum of two years of eligibility remaining.
  • Strong programming skills (e.g., in Matlab or Python)

Preferred Qualifications

  • Experience collecting EEG data would be an asset.

Appointment Type

Restricted

Salary Information

$55,000 - $65,000

Review Date

December 10, 2023

Additional Information

Interested applicants should apply online at www.jobs.vt.edu Posting 524890. Please include a current Curriculum Vitae, a Statement of Research Interests, and the contact information of three (3) references. Please see the lab website (www.vijayan.neuroscience.vt.edu) for additional details.

Direct queries to Sujith Vijayan at neuron99@vt.edu

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire accommodation, please contact Jonathan Hedrick at hedrick1@vt.edu during regular business hours at least 10 business days prior to the event.

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