We are seeking applicants for a full-time postdoctoral fellow in the Cognitive Network Neuroscience and Translation research group of Professor John Medaglia (http://www.med.upenn.edu/lcns/medaglia.html) at the University of Pennsylvania. This opportunity is for a motivated and dedicated scientist looking to develop an early career focus on the dynamic brain processes that underlie human cognition and control problems. We examine the intersection between complex systems science, cognitive neuroscience, and control engineering. To do so, we apply mathematically rigorous techniques in neuroimaging (fMRI, MRI, etc.) data paired with neuromodulation (TMS, tDCS) to understand cognitive decline, resilience, excellence, and recovery in healthy and neurological populations. The long-term goal of this research is to develop novel theoretical and practical approaches to understand cognitive dysfunction and inform neurorehabilitation in the service of neurological populations.
The nature of ongoing research in our group is broad and will synergize with and develop the applicant’s strengths. This position is ideal for an academically oriented individual looking to develop either breadth in multimodal research or gain depth in a specific area. The postdoctoral fellow will have the opportunity to collect behavioral and neuroimaging data, perform advanced network and behavioral analyses (e.g., using Matlab, R, E-prime, Python, etc), administer brain stimulation, and conduct network analyses in neuroimaging data. The post-doctoral fellow will write and submit research manuscripts including, but not limited to, multimodal neuroscience research that integrates modern network analysis in neural data, neuromodulation, machine learning, and behavioral measures. We additionally collaborates with several experimental and clinical research groups (e.g., studying time perception, cognitive control, stroke, and neurodegeneration), affording the candidate the opportunity to work with multiple samples and psychological constructs. The fellow will additionally participate in a rich collaborative environment in the Laboratory for Cognition and Neural Stimulation (http://www.med.upenn.edu/lcns/) and University of Pennsylvania at large. Career development opportunities include funding support for travel to present research results, full access to professional development seminar series at Penn, and the ability to develop interdisciplinary connections across campus.
Applications will be evaluated on a rolling basis with a flexible start date for the selected applicant.
This position is funded by Dr. Medaglia’s Early Independence Award and is contingent on continued funding.
Required Qualifications: A Doctoral degree in psychology, cognitive neuroscience, computer science, biomedical engineering or related field is required. Knowledge of statistics and neuroimaging research methods, and advanced programming skills pertinent to data analysis (e.g., Matlab, R, Python) are required. Strong organization, writing, and communication skills, the ability to work independently, and the flexibility to adjust to new developments in the field and creative novel research opportunities are required.
Preferred Qualifications: Experience in applied network analysis in anatomical and functional neuroimaging data is strongly preferred. Experience in applying machine learning techniques to data is also highly valued. Knowledge and experience in applying non-invasive brain stimulation (TMS or tDCS) are also desired. Candidates without these preferred qualifications are still strongly encouraged to apply since learning opportunities are available within the research group for all preferred qualifications.
TO APPLY: Interested candidates should reply to this posting by sending a C.V. and a cover letter articulating prior research experiences, interest in the position, career goals, and contact information for at least two previous research supervisors to [log in to unmask] Queries regarding this position are welcome and can also be sent to this e-mail address.
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