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Track 01
Medical Students
Medical students are the core of our clinical research pipeline. You don't need prior neuroscience experience. We need people who can work with patients, learn signal processing basics, and stay organized across a long-term project.
We offer structured mentorship toward scholarly work that counts for residency applications: abstracts, conference presentations, and first-authored manuscripts. The SeizEAR project, which went from prototype to a peer-reviewed submission, was substantially driven by a WVU medical student.
- Summers, dedicated research years, and part-time clerkship-era blocks all work
- Manuscript and abstract mentorship as primary output goals
- Clinical exposure to SEEG, DBS, and outpatient epilepsy alongside research
- Residency letter of recommendation available for meaningful contributors
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Track 02
Residents & Fellows
Neurology residents and epilepsy fellows at WVU can embed in research projects suited to a part-time schedule during training. Our current model involves weekly lab meetings, quarterly project check-ins, and targeted effort toward conference abstracts and manuscript submission during protected research time.
This track is particularly well suited for residents interested in epilepsy, functional neurology, or neuromodulation fellowships who want publications before fellowship applications.
- Flexible time commitment compatible with residency schedule
- AES, CNS, and ILAE abstract and presentation opportunities
- Direct mentorship for fellowship personal statement narratives
- Exposure to advanced epilepsy surgery and neuromodulation planning
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Track 03
Graduate Students
We are actively seeking PhD students through WVU's Neuroscience Graduate Program and Biomedical Engineering department. We want students who can take technical ownership of a project: writing their own analysis code, managing their own IRB data access, and driving the intellectual direction of their dissertation work.
Our lab provides access to rare human intracranial electrophysiology datasets, implanted device programming data, and an actively developing neurotechnology platform. Your dissertation could combine signal processing, clinical data science, and device development in ways that very few labs can support.
- Thesis projects available in oscillatory biomarkers, BCI systems, and neuromodulation
- Joint mentorship with RNI faculty in neurosurgery and psychiatry available
- NIH T32 and F31 fellowship application support
- Rotation projects available before formal commitment
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Track 04
Postdoctoral Fellows
We are open to postdoctoral applicants with a strong background in computational neuroscience, signal processing, neural engineering, or clinical neurophysiology. The ideal candidate has published in human electrophysiology or BCI systems and is ready to lead a project with a combination of mentored independence and collaborative input.
We will actively support K award applications (K01, K08, K23) for clinician-scientist postdoctoral fellows, and K99/R00 applications for PhD-trained postdoctoral scientists. Positions are funded on a combination of project-specific grants and individual fellowship support.
- Active mentorship toward K award and R01 applications
- Direct access to human SEEG and neuromodulation datasets
- Co-investigator status on funded projects for eligible fellows
- National conference travel and presentation support
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Track 05
Industry Collaborators
We have established and ongoing industry partnerships with Starkey Hearing Technologies, Cognixion, NaviFUS, and Pupil Labs. We are open to new collaborations with companies in the neurotechnology, medical device, and digital health sectors. Our value proposition is direct access to a high-density clinical research environment with expert neurophysiologists and a rigorous IRB and regulatory framework.
We have experience navigating FDA regulatory pathways for device-enabled research (IDE/HDE familiarity), and our team can support feasibility studies, signal validation, and early clinical evidence generation for novel neurotechnology products. If your device or platform would benefit from human intracranial or ambulatory EEG validation in a clinical research setting, we should talk.
- Sponsored research agreements and MTAs supported by WVU OTT
- Access to 50+ enrolled SEEG research participants
- Device validation and early feasibility studies
- Co-authorship on resulting peer-reviewed publications
- Ambulatory EEG platform validation (SeizEAR / commercial devices)
- Signal quality and biomarker benchmarking