Programme Structure and Funding
The project is a full-time Ph.D. project: a full-time undergraduate scholarship to the New York University Graduate School of Arts and Sciences and the New York University Centre for Neurological Sciences for a joint 5 study year: New York, United States and Shanghai, China, Autumn, New York, and the previous year, 12 1, closed the application for a special admission statement: students will study at New York University for one and a half years, then join the Shanghai Laboratory for dissertation studies and continue coursework. Scholarships: Dr. GSAS Scholarship Scheme, also known as Henry Mitchell MacCracken, Professor of Philosophy MacCracken was the sixth Rector of New York University. The scholarship scheme provides full funding for GSAS Ph.D. students for 4-5 years, including full tuition, registration, service fees and health insurance. Subsistence allowance for nine months per school year plus one-time President’s Scholarship 1000 US$. Additional salaries are paid for scientific or teaching assistants.
Entry Requirements
• Academic background: the baccalaureate or master’s degree awarded by an accredited institution does not require GRE certificate of GPA (no specific requirements) language requirements: the IELTS/Tofo language achievement is to be submitted, but no minimum score requires an exemption for language achievement: bachelor’s degree or master’s degree from an institution with English as the only language of instruction
Application Materials
- Academic curriculum vitae
- applicant’s statement (includes academic plans, fields of research, target planning and lists the research interests of laboratories at 1-5 New York University)
- Personal statement (includes personal background, specific research interest)
- Official report card and degree certificate (non-English version with a certified English translation)
- TOEFL or IELTS report
- 3 for recommendation
Application Period
2025 year 12 1
Career Prospects
Under the mentor ’ s system, Ph.D. in neuroscientific students will have an in-depth knowledge of the core theoretical and research methods of molecular and cytological neuroscience, system and computational neuroscience, cognitive and behavioural neurology, neurography and neurography, and will have systematic training in key scientific techniques such as electrophysiological records, optical and multimodular imaging, behavioural experimental design, neurodata analysis, computational modelling and machine learning, with integrated scientific capabilities across life sciences, psychology, computing, engineering and data science.
Graduates have great prospects for development in the following fields: • Scientific institutions and laboratories: National or international centres for the scientific study of the brain, research institutes of neuroscience, laboratories of biomedicine and cross-sciences in basic neuromechanical research, neurotechnological development, brain function analysis and methodological innovation.
• Biomedicine and neurotechnologies: research on neuro-diseases, neuro-image and brain signal analysis, neuro-regulation technology development and conversion of scientific results in bio-medicine enterprises, brain science and neuro-technology companies, medical devices and digital health industries. • Data science and artificial intelligence direction: large-scale neurodata modelling, algorithm development, brain signal resolution and intelligent model design in positions related to neurodata science, computational neuroscience, brain intelligence, machine learning and intelligent systems.
Through systematic doctoral-level academic training and interdisciplinary scientific practice, graduates will develop solid theoretical foundations, experiments and computational capabilities in the neurosciences, develop independent scientific capabilities, innovative thinking and interdisciplinary collaboration, and lay a solid foundation for long-term development in academic research, cutting-edge technology and high-end industries.
