Job Description
The Neural Dynamics and Neural Engineering Lab at Virginia Tech, headed by Sujith Vijayan, is looking for a Lab Technician to help set up and manage research projects in the lab. Our lab investigates neural dynamics during active behavior and during offline 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, to improve BMI algorithms, and to develop the framework for stimulation and pharmacological therapies for diseases, especially those marked by abnormal neural dynamics during sleep (e.g., posttraumatic sleep disorder (PTSD) and Parkinson's disease). See the lab website (www.vijayan.neuroscience.vt.edu) for more details.
This position will be located in Roanoke and Blacksburg. The successful candidate must have reliable transportation that enables them to travel to and from the main Virginia Tech campus in Blacksburg and the Virginia Tech Carillon Research Institute and Medical School in Roanoke. ||Duties of the laboratory and research specialist may include working on model construction, data collection, data organization, and data analysis and coordinating projects with other members of the laboratory. The candidate will have the opportunity to co-author publications and, depending on their background and experience, craft their own research projects. Training and guidance and will be provided for those aspects of the job in which the candidate is lacking sufficient expertise. This is an hourly position; hours will vary.
Required Qualifications
Experience working in a research laboratory and/or BS in applied mathematics, computer science, engineering, physics, computational neuroscience, psychology, or a related field.
Experience with computer functions such as data entry and data analysis.
Eagerness to learn about all aspects of research related to neuroscience, biomedical engineering, electrical engineering, computer science, applied mathematics, and medicine.
Preferred Qualifications
Programming experience (e.g., with Python or Matlab) is desirable.
Experience running behavioral experiments or collecting EEG data would be an asset.
Pay Band
3
Appointment Type
Restricted
Salary Information
Commensurate with Experience
Review Date
6/3/2024; Ongoing Until Filled
Additional Information
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 communitydedicated 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 medicinecollege, Graduate School , andHonors College . The university has a significant presence across Virginia, including theInnovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerousExtension offices andresearch 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.
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