Open Positions

Postdoctoral Fellow in Computational and Statistical Neuroscience
New York University School of Medicine
New York, NY

Applications are now being accepted for a postdoctoral fellow position 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 September 2022, 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, computational neuronal modeling, computer programming (MATLAB/Python) is preferred.
 
To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to:  Dr. Zhe Sage Chen (zhe.chen@nyulangone.org) with a subject line “Postdoc application”.

Postdoctoral Fellow in Machine Learning for EEG-based Biomarker Studies in Epilepsy
New York University School of Medicine
New York, NY

Applications are now being accepted for a postdoctoral fellow position to combine computational and experimental techniques to study circuit mechanisms of chronic pain in rodent models.   The applicant will work closely with Professor Zhe Sage Chen and Professor Orrin Devinsky at the New York University School of Medicine, with cross-disciplinary training in machine learning, EEG signal processing, clinical 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 September 2022, and will be funded by the NIH.
 
Applications must have a PhD degree in Machine Learning, Statistics, Electrical or Biomedical Engineering, 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, EEG signal processing, biomarker discoveery, computer programming (MATLAB/Python) is preferred. Research experience with rodent neural circuits is a plus.
 
To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to:  Dr. Zhe Sage Chen (zhe.chen@nyulangone.org) with a subject line “Postdoc application”.