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Post Doctoral Fellow (Robotics) - Rockefeller Neuroscience Institute/Department of Neuroscience

West Virginia University
paid holidays, sick time
United States, West Virginia, Morgantown
Aug 19, 2025
Description

The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for a Post Doctoral Fellow (Robotics) in the Department of Neuroscience.

About the Opportunity

A postdoctoral position in computational neuroscience/robotics/machine learning is available in Dr. Latifi's Lab at West Virginia University Rockefeller Neuroscience Institute. We are looking for outstanding candidates interested in employing cutting-edges technologies, ML, and graph theory-based analytics to understand multiscale brain networks dynamics. The postdoctoral associate can work under a specific project as well as general research involving the applications of ML, robotics, or graph theory in evaluating brain functions in specific disorders such as stroke.

We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:



  • 37.5-hour work week
  • 13 paid holidays (staff holiday calendar)
  • 24 annual leave (vacation) days per year or more based on years of service (employee leave)
  • 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
  • WVU offers a range of health insurance and other benefits
  • 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
  • Wellness programs


What You'll Do



  • Analyzing neuronal data from large scale electrophysiological recording or two-photon microscopy and contributing to developing/modifying analytical pipeline.
  • Developing ML/AI models to decode behavior from extracted neuronal signals.
  • Design robotics structures (in collaboration with other labs in the project).
  • Provide intellectual contribution to other ongoing projects in the lab.

Qualifications

  • PhD in Neuroscience, Computer Science, Artificial Intelligence, Robotics, Physics, or related quantitative disciplines.
  • A minimum of 0-6 months experience in the following:

    • Analyzing high-dimensional data using MATLAB or Python.


  • All qualifications must be met by the time of employment.


Knowledge, Skills and Abilities



  • Strong quantitative and programming skills.
  • Experience with two-photon microscopy and/or EEG.
  • Candidates from other quantitative disciplines should be willing to work with animal models and perform experiments.

About WVU

West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.

From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.

At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values - service, curiosity, respect, accountability and appreciation - unite us as Mountaineers.

Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

Job Posting : Aug 18, 2025
Posting Classification : Non-Classified
Exemption Status : Exempt
Benefits Eligible : Yes
Schedule : Full-time
Applied = 0

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