Scholarship: Fully-funded
Degree: B.S./M.S./Ph.D
Nationality: International Students
Location: Singapore
Application deadlines: Open
Scholarship Description:
Deep NeuroCognition Lab(https://a0091624.wixsite.com/deepneurocognition-1) at School of computer science and engineering, NTU aims to translate insights from cognitive science and neuroscience to push the frontiers of AI research.Meanwhile, use AI models to further our understanding of human cognition. We design and conduct psychophysics experiments that benchmark human and AI performance in vision tasks, identify research gaps, and bootstrap modern AI. We also develop novel computational models that help evaluate working hypotheses in human vision, and thereby, advance our understanding of biological perception. All of us in DeepNeuroCognition Lab seek to foster a welcoming, respectful and caring lab environment, where we support a diverse group of students and trainees of all levels regardless of their race, age, colour , national origin, religion, sexual orientation, gender identity, gender expression, disability, economic status and other characteristics and identities. We value scientific integrity, teamwork, responsiblity, passion, self-motivation, open-mindedness, differences, and adapatability. If you are interested in joining our lab, we expect you to uphold to them.
Available Subjects:
- Computational neuroscience and AI
Eligibility criteria:
- Basic language tests to pass the admission criteria:TOEFL (above 100); GRE (Q+V=319, AW-=3.5)
- Requirements for PhD positions in computer vision or machine learning:Language
- (proficient in English reading/writing; all one-to-one meetings/group meetings are conducted in English)(preferred; not compulsory)
- Have at least 1 publication (1st, 2nd, or 3rd authors) in ICLR, CVPR, ICCV, AAAI, ICML, NeurIPS, TPAMI, IJCV, IJCAI, WACV, ECCV, EMNLP
- satisfy criteria listed in NTU PhD application website: https://www.ntu.edu.sg/admissions/graduate/radmissionguide#Content_C047_Col00
Application Procedure:
Send your CV and the research statement to [email protected]
