NYU Shanghai, in partnership with the NYU Graduate School of Arts and Science and the NYU Center for Neural Science, invites applications from exceptional students for PhD study and research in Neural Science.
Participating students are enrolled in the NYU GSAS Neural Science PhD program, complete their coursework at the NYU Center for Neural Science in New York, and then transition to full-time residence at NYU Shanghai where they undertake their doctoral research under the supervision of NYU Shanghai faculty.
Highlights of the Program
- NYU degree upon graduation
- Graduate coursework at the NYU Center for Neural Science in New York
- Research opportunities with and close mentorship by NYU Shanghai faculty
- Access to the vast intellectual resources of NYU GSAS and NYU Center for Neural Science
- Cutting-edge research environment at NYU Shanghai, including the Institute of Brain and Cognitive Science, activities such as a regular program of seminars and visiting academics, a thriving community of PhD students, post-doctoral fellows, and research associates, and links with other universities within and outside China
- Financial aid through the NYU Shanghai Doctoral Fellowship, including tuition, fees, and an annual stipend equal to stipends received by all NYU Neural Science PhD students
- Additional benefits exclusive to the NYU Shanghai program, including international health insurance, housing assistance in New York, and travel funds
Neural Mechanisms of Economic Decision-Making, Reward and Working Memory, Neuropsychiatry of the Prefrontal-Basal Ganglia Loops
Neuroeconomics, Decision-Making, Spatial Cognition, Reinforcement Learning
Human Perception and Action, Eye-Hand Coordination, Virtual Reality
Computational Neuroscience, Network Models for Learning and Memory
Speech and Language, Sensorimotor Integration and Transformation, Memory, Mental Imagery
Recent Publications by NYU Shanghai Faculty
- Li, L.*, Ni, L., Lappe, M., Niehorster, D.C., & Sun, Q. (2018). No special treatment of independent object motion for heading perception. Journal of Vision, 18(4):19. DOI: 10.1167/18.4.19
- Tian, X., Ding, N., Teng, X., Bai, F., & Poeppel, D. (2018) Imagined speech influences perceived loudness of sound. Nature Human Behaviour, 2, 225–234. doi:10.1038/s41562-018-0305-8
- Juavinett, A. L., Erlich, J. C. & Churchland, A. K. Decision-making behaviors: weighing ethology, complexity, and sensorimotor compatibility. Current Opinion in Neurobiology 49, 42–50 (2018)
- Rushton, S.K.*, Niehorster, D.C., Warren, P.A, & Li, L.* (2018). The primary role of flow processing in the identification of scene-relative object movement. The Journal of Neuroscience, 38(7),1737-1743
- Lukinova, E., Wang, Y., Lehrer, S. F. & Erlich, J. C. Time preferences are reliable across time-horizons and verbal vs. experiential tasks. bioRxiv (2018). doi:10.1101/351312
- Liu, X., & Tian, X. (2018). The functional relations among motor-based prediction, sensory goals and feedback in learning non-native speech sounds: Evidence from adult Mandarin Chinese speakers with an auditory feedback masking paradigm. Scientific Reports, 8:11910. doi:10.1038/s41598-018-30399-5
- Rustichini, A, Conen KE, Cai X and Padoa-Schioppa C (2017). "Optimal coding and neuronal adaptation in economic decisions." Nat Commun 8(1): 1208
- Lim S, McKee JL, Woloszyn L, Amit Y, Freedman DJ, Sheinberg DL, Brunel N, Inferring learning rules from distributions of firing rates in cortical neurons, Nature Neuroscience 18, 1804-1810 (2015)
- Murray JD, Bernacchia A, Freedman DJ, Romo R, Wallis JD, Cai X, Padoa-Schioppa C, Pasternak T, Seo H, Lee D, Wang XJ (2014) A hierarchy of intrinsic timescales across primate cortex. Nature Neuroscience 17, 1661–1663
- Lim S, Goldman MS, Balanced cortical microcircuitry for spatial working memory based on corrective feedback control, Journal of Neuroscience 34, 6790-6806 (2014)
Selected Faculty Features
"Testing Your Patience: Professor Digs into How We Decide If it's Worth the Wait", April 2019 (Jeffrey Erlich)
"Researchers Identify a Brain Region that Integrates Physical Effort into Decision-making", April 2019 (Xinying Cai)
"Research Gains Insights into Mechanisms for Second Language Acquisition", Sep 2018 (Xing Tian)
"Xinying Cai Awarded NSFC Grant", Jan 2017 (Xinying Cai)
"Finding a Drive to Drive in Gaming", Aug 2016 (Li Li)
"Rats Show Importance of Gradual Accumulation of Evidence in Decision-Making", Apr 2015 (Jeffrey Erlich)
Structure of Program
Participating students complete the PhD degree requirements set by the NYU Center for Neural Science and in accordance with the academic policies of NYU GSAS. Each student develops an individualized course and research plan in consultation with the Director of Graduate Study at the NYU Center for Neural Science and the student’s NYU Shanghai faculty advisor. A typical sequence follows:
Begin program with funded research rotation, up to 3 months preceding first Fall semester, to familiarize with NYU Shanghai and faculty as well as lay a foundation for future doctoral study.
(Fall and Spring)
in New York
Complete PhD coursework at Center for Neural Science alongside other NYU PhD students.
Return to Shanghai for second funded research rotation to solidify relationships with NYU Shanghai faculty and make further progress in research.
through Year 5
Under supervision of NYU Shanghai faculty advisor, pursue dissertation research and continue coursework. Depending on each student’s individualized course of study, return visits to New York may also occur. Complete all required examinations and progress evaluations, both oral and written, leading up to submission and defense of doctoral thesis.
To learn more about the NYU Center for Neural Science PhD program degree requirements, please visit this page.
|Name||Research Areas||Supervising Faculty|
|Xingyu Ding||Computational Neuroscience, Modeling of High-Level Cognitive Function Using Biophysical Circuit Models||Xiao-Jing Wang|
|Jintao Gu||Memory and Plasticity||Sukbin Lim|
|Peiyao Hu||Computational Neuroscience, Computational Mechanism of Learning and Memory in Neural Networks||Sukbin Lim|
|Liujunli Li||Neuroeconomics, Decision-Making, Spatial Cognition, Reinforcement Learning||Jeffrey Erlich|
|Josh Mōller-Mara||Neuroeconomics, Probabilistic Models of Cognition, Bayesian Inference, Computational Psychiatry||Jeffrey Erlich|
|Yalun Peng||Involvement of Orbitofrontal Cortex in Economic Decision Making||Xinying Cai|
|Chengze Xu||Decision Making||Xinying Cai|
|Xiaoyue Zhu||Neural Mechanisms of Decision-Making Using Rodents||Jeffrey Erlich|
Application Process and Dates
Applications are to be submitted through the NYU GSAS Application portal, within which students should select the Neural Science PhD as their program of interest, and then indicate their preference for NYU Shanghai by marking the appropriate checkbox when prompted. Applicants will be evaluated by a joint admissions committee of New York and Shanghai faculty. Application requirements are set by the NYU Center for Neural Science and are the same as those for all NYU PhD applicants; however, candidates are recommended to elaborate in their application and personal statements about their specific interests in the NYU Shanghai program and faculty.
The application deadline has passed and the NYU GSAS Application portal is closed (December 1, 2018). If you are interested in applying in the future, applications will reopen in Fall 2019 for 2020 admission. Applications are only accepted for Fall admission.
Interested students are welcome to contact Xiaoyun Du, program coordinator of the NYU Shanghai Neural Science PhD, via email at firstname.lastname@example.org with any inquiries or to request more information.