A postdoctoral research fellowship in computational neuroscience is available immediately with the interdisciplinary research team led jointly by Dr. Jennifer Luebke (Dept of Anatomy & Neurobiology, Boston University School of Medicine, Boston MA), Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY).   The central goal of the NIH-funded project is to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkey, to gain insight into mechanisms that contribute to age-related cognitive decline.  The successful candidate will build computational models of cortical networks that incorporate age-related changes to individual neurons, and explore mechanisms of network dysfunction.  The models will be constrained by our morphology, physiology, and behavior studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare.  Our joint publications related to this project include Ibañez et al. Front. Comput. Neurosci. (2020), PMID 32009920; Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692; and Amatrudo et al., J. Neurosci. (2012), PMID 23035077.   The appointment as a Boston University School of Medicine research fellow will be for at least 1 year with possibility for extension based on performance.

Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling and empirical data in neuroscience research.  Review of applications will begin immediately and will continue until the position is filled.  

Interested applicants should attach the following:  

• A cover letter,
• A current CV,
• A brief statement of current and future research interests,
• The contact information of three references.  Please be aware that references may be contacted anytime after receipt of your application.

Requirements:

• PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required.  
• Experience with NEURON compartmental modeling software and/or MATLAB scientific computing software is required.
• Experience with differential equations-based mathematical models is required.
• Excellent written and verbal communication skills is required.  
• Experience with conductance-based modeling of single neurons and/or excitatory-inhibitory networks is preferred.

Please send inquiries and application materials to Dr. Christina Weaver, christina.weaver@fandm.edu .