Research Focus
In the PhD in Neuroscience programme at NYU Shanghai, the nervous system and brain function track focuses on the information processing and regulatory mechanisms of the nervous system at the molecular, cellular, neural circuit and systems levels, covering key frontier areas such as cellular and molecular neuroscience, systems and computational neuroscience, cognitive and behavioural neuroscience, and neuroimaging and neurotechnology. The programme emphasises interdisciplinary research methods combining experimental neuroscience, quantitative analysis, computational modelling and data science, to explore in depth the mechanisms of neuronal excitability and synaptic plasticity, neural circuit dynamics, the principles of information encoding and regulation in brain networks, and how these are realised in complex behaviour and cognitive function.
Research priorities include: regulation of neuronal and synaptic function, neural circuits of sensory and motor systems, neural mechanisms of learning and memory, brain network bases of decision-making and emotional regulation, neural development and plasticity, fundamental mechanisms of neurodegenerative and psychiatric disorders, optogenetics and multimodal neuroimaging technologies, and large-scale neural data analysis and machine learning models. By combining theoretical analysis, numerical simulation, high-precision electrophysiology and optical imaging platforms, and behavioural experiments, the programme is dedicated to advancing systematic development from basic brain science research to innovation in neurotechnology and computational models.
The programme places strong emphasis on interdisciplinary integration, deeply merging neuroscience with biology, psychology, computational science, engineering technology and artificial intelligence methods, providing systematic research support for future brain science research, neurotechnology innovation and brain-inspired intelligence development.
Programme Structure and Funding
This programme is a full-time PhD programme: direct entry from bachelor’s degree with full scholarship; joint training by the NYU Graduate School of Arts and Science and the NYU Neuroscience Center; duration 5 years; study locations: New York, USA and Shanghai, China; autumn entry, application deadline 1 December of the previous year; special admission note: students will study at NYU for one and a half years, then join a Shanghai laboratory for thesis research and continue coursework. Scholarship: the GSAS PhD Scholarship Programme, also known as the Henry Mitchell MacCracken Programme — philosophy professor MacCracken once served as the sixth president of NYU. The scholarship programme provides 4–5 years of full funding for GSAS doctoral students, including full tuition, registration, service fees and health insurance premiums; a nine-month living stipend per academic year, plus a one-time Dean’s Scholarship of USD 1,000. Additional pay may be received for work as a research assistant or teaching assistant.
Entry Requirements
· Academic background: a bachelor’s or master’s degree from a recognised institution; no GRE score required; GPA (no specific requirement). · Language requirements: IELTS/TOEFL language scores must be submitted, but there is no minimum score requirement. Language score exemption: a bachelor’s or master’s degree obtained from an institution where English is the sole language of instruction.
Application Materials
- Academic CV 2) Applicant statement (including academic plan, research field, goals and plans, and listing 1–5 NYU laboratories with an explanation of research interests) 3) Personal statement (including personal background and specific research interests) 4) Official transcripts and degree certificates (if not in English, a certified English translation must be submitted) 5) TOEFL or IELTS score report 6) 3 letters of recommendation
Career Prospects
Under the systematic training of their supervisor, PhD students in neuroscience will gain an in-depth command of core theories and research methods in molecular and cellular neuroscience, systems and computational neuroscience, cognitive and behavioural neuroscience, and neuroimaging and neurotechnology, and receive systematic training in key research skills such as electrophysiological recording, optical and multimodal imaging, behavioural experiment design, neural data analysis, computational modelling and machine learning, developing comprehensive research capabilities spanning life sciences, psychology, computational science, engineering technology and data science.
Graduates have broad development prospects in the following areas: ● Universities and research institutions: engaging in research and teaching in neuroscience, life sciences, psychology, cognitive science, biomedical engineering and related fields, developing into lecturers, assistant professors or independent research scholars at research universities. ● Research institutions and laboratories: engaging in basic neural mechanism research, neurotechnology development, brain function analysis and methodological innovation at national or international brain science research centres, neuroscience institutes, and biomedical and interdisciplinary science laboratories.
● Biomedicine and neurotechnology industry: engaging in research on mechanisms of neurological disease, neuroimaging and neural signal analysis, development of neuromodulation technologies and translation of research outcomes in biopharmaceutical companies, brain science and neurotechnology companies, and the medical device and digital health industries. ● Data science and artificial intelligence: engaging in large-scale neural data modelling, algorithm development, brain signal analysis and intelligent model design in roles related to neural data science, computational neuroscience, brain-inspired intelligence, machine learning and intelligent systems.
Through systematic doctoral academic training and interdisciplinary research practice, graduates will develop a solid theoretical foundation in neuroscience, experimental and computational capabilities, and cultivate independent research ability, innovative thinking and interdisciplinary collaboration awareness, laying a firm foundation for long-term development in academic research, frontier technology and high-end industry.
