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Research Assistant Professor, Department of Neuroscience

Job Description


The Sontheimer Lab, in the Department of Neuroscience at the University of Virginia (UVA) School of Medicine invites applications for a Research Assistant Professor, tenure-ineligible.  This is an NIH supported position that will investigate the role of extracellular matrix/PNN in acquired epilepsies in a highly collaborative research group.

The Sontheimer Lab at the University of Virginia provides an ideal place for doing research with cutting-edge technologies in neuroscience research. A group of more than 15 researchers from across the globe who are at various career stages including undergraduates, graduates, medical, postdocs, and senior scientists with diverse backgrounds and expertise provide a welcoming and growth-supportive environment. The state-of-the-art laboratory is equipped with multiple surgery suites, patch clamp electrophysiology rigs, live cell/tissue fluorescence imaging, confocal microscopy, cell/tissue culture, animal behavior and genetic manipulation facility, two-photon imaging of live mouse brain, 24x7 EEG and video monitoring facility to provide uninterrupted workflow in a fast-paced working environment.

Principal Investigator, Dr. Sontheimer has a long-standing interest in the mechanisms and therapeutics of neurodegenerative diseases and acquired epilepsy with a current focus on the role of glial cells and extracellular matrix. Besides being a keen researcher, Dr. Sontheimer is a passionate educator and mentor who has trained numerous scientists and students in several disciplines of neuroscience research.  

The project involves looking at the fundamental contribution and molecular mechanisms associated with the extracellular matrix (ECM) and perineuronal nets (PNNs) in the pathogenesis of acquired forms of epilepsy. Previous and ongoing studies from the laboratory show a complex presentation of ECM and PNNs in different models of epilepsy leading us to propose a multifaceted role of ECM and plausible interactions with neuron and glial cells in CNS diseases. Using a combination of techniques including but not limited to patch clamp electrophysiology, newly developed advanced EEG probe, confocal microscopy, and genetic manipulations, the candidate will perform experiments, analyze and present data, and oversee the daily operations related to the project and report PI on regular basis. 

The following expertise is desirable:

-           Experience in EEG and/or EMG

-           Slice or single-cell electrophysiology

-           Small animal surgery

-           Mouse handling

-           Immunohistochemistry

-           Confocal microscopy

-           Western blotting

While the position is supported by grants to Dr. Sontheimer, the nature of the position will allow for considerable independence and growth including submission of independent grants. The individual work closely with a range of trainees including undergraduates graduates and postdocs.

Starting salary will be commensurate with experience but in the $80,000-$90,000 range.

Required Qualifications:    

Ph.D. in neurobiology, neuroscience, physics, engineering or similar fields.

3+ years postdoctoral experience.

The candidate is expected to have a successful research record as demonstrated by publications in peer-reviewed journals.

The University of Virginia is located east of the Blueridge Mountains of Virginia just 30 minutes from Shenandoah National Park and 100 miles south of Washington DC. Charlottesville is often voted one of the best places to live in the US, with a vibrant arts and music scene, pristine nature, local wineries and breweries, and tons of small-town charm. Competitive salary, space, and start-up packages will be provided.

This is a restricted position; continuation is dependent on funding and satisfactory performance.

TO APPLY:

Please apply through Workday at the following URL, https://uva.wd1.myworkdayjobs.com/UVAJobs , and search for requisition #R0043996. Internal applicants must apply through their UVA Workday profile, search “Find Jobs,” and search for requisition #R0042068. Complete an application online and attach the following documents:

  • Curriculum Vitae
  • State of Interest
  • Contact information for three references (name, email address, telephone number, physical/mailing address)

Please note that multiple documents can be uploaded in the box. Applications that do not contain all required documents will not receive full consideration.  The University will perform background checks on all new hires prior to employment.  A completed pre-employment health screen is required for this position prior to employment.

Priority review of applicants will begin February 16, 2023, and this position will remain open to applications until filled.   


For further information regarding the application process, please contact Jessica Russo, via email, sxv9zv@virginia.edu .

UVA assists faculty spouses and partners seeking employment in the Charlottesville area.  To learn more please visit https://dualcareer.virginia.edu/   For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ .


For more information on the benefits available to faculty at UVA, visit https://provost.virginia.edu/subsite/faculty-development and hr.virginia.edu/benefits .


COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines  webpage prior to applying for current information regarding vaccination requirements?and?guidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.


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