The Penn Memory Center (PMC; http://pennmemorycenter.org) and Penn
Computing and Science Laboratory (PICSL; http://picsl.upenn.edu) is seeking
candidates for a Postdoctoral Fellow position to study structural and
functional alterations of the medial temporal lobe (MTL) associated with
aging and preclinical Alzheimer’s Disease. The Postdoctoral Fellow will
support NIH-funded collaborative projects of Drs. David Wolk and Paul
Yushkevich, utilizing and developing advanced morphometric image analysis
methods with a focus on MTL subregions.  We are interested in the
interaction and consequences of normal aging, vascular disease, and
molecular markers of Alzheimer’s Disease on MTL structure and
function.  Multimodal
imaging, including 3T/7T MRI, fMRI, Amyloid PET, and Tau PET will be
employed along with experimental memory measures.  The successful candidate
will have completed a PhD in neuroscience, psychology, biomedical
engineering, or an equivalent field, have proven technical ability in image
analysis, and a demonstrated publication record. Background knowledge in
memory, cognitive neuroscience of aging/Alzheimers Disease, MTL
segmentation, scripting languages, and behavioral statistical analyses are
highly desirable. The Postdoctoral Fellow will have opportunities for
first-author papers in competitive conferences and/or leading journals in
their respective fields. Primary responsibilities in this position include
the analysis, interpretation, and scientific presentation of structural and
functional MRI and behavioral data related to ongoing projects of MTL
subregional structure and function.



The University of Pennsylvania is a leading center in human brain imaging
and neurodegeneration, with access to advanced MRI and PET imaging. The PMC
is home to the Clinical Core of the NIH-funded Penn Alzheimer’s Disease
Core Center of which Dr. Wolk is Associate-Director. PICSL is a dynamic and
growing group in the Department of Radiology that is involved in many
exciting biomedical imaging projects, including multi-modality
neuroimaging, animal imaging, geometric and statistical modeling of imaging
data, diffeomorphic registration and multi atlas segmentation. We are
particularly well known for our open-source research software, such as
ITK-SNAP and ANTS.  The Wolk and Yushkevich laboratories moved to newly
renovated space in the Richards/Goddard (
https://en.wikipedia.org/wiki/Richards_Medical_Research_Laboratories)
building, a designated National Historic Landmark designed by the renowned
architect Louis Kahn. Virtually all neuroimaging and brain function
research groups at Penn are housed in this complex, including the Center
for Cognitive Neuroscience (CCN; http://ccn.upenn.edu). Although the Penn
campus is already very compact, consolidating the many faculty members
involved in neuroimaging facilitates broader participation in projects,
seminars, workshops, and interdisciplinary training, and will provide an
outstanding environment for trainees to interact with faculty and with each
other.


The University of Pennsylvania is located in Philadelphia, a vibrant city
that offers many professional and cultural opportunities. The campus is in
walking distance from the city center, which has experienced enormous
growth and transformation in the last two decades. Philadelphia is famous
for its history, independent arts, music, and theatre, and a rich food
scene. It is one of the few major cities in the United States that is
affordable for academic trainees, both in urban and suburban settings. The
Philadelphia region has an excellent public transportation system that
connects many distinctive urban and suburban communities. Some of the best
schools in the state are located in the Philadelphia region. New York City,
Washington DC, New Jersey beaches and Pocono Mountains are within 2-3 hours
by car, bus, or train.



The University of Pennsylvania is an equal opportunity, affirmative action
employer. Women and minority candidates are strongly encouraged to apply.



Informal inquiries can be directed to David Wolk (david.w...@uphs.upenn.edu)
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