Postdoctral Fellow in Computational and Statistical Neuroscience
New York University School of Medicine
New York, NY
Applications are now being accepted for two postdoctoral fellow
positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine,
with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience
Institute, Center
for Neural Science, Department
of Neuroscience & Physiology, and Department
of Psychiatry. This position is available from immediately, and will be funded by the NIH for 3 years.
Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues
in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computer programming (MATLAB/Python) is preferred.
To apply, please send an email along with (i) CV; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two references to: Dr. Zhe Sage Chen (zhe.chen@nyulangone.org).