The research on AI technologies includes Machine Learning, Deep Learning, Natural Language Processing (NLP), distributed optimization and big data analysis. Candidates have excellent first degree in computer science or electrical engineering degrees (from top-tiered schools in China), and are expected to be proficient in analytical thinking (i.e., good mathematical training), knowledgeable about machine learning and have good software programming experience. The PhD research at NTU will be in collaboration with the World Health Organization (WHO) and jointly supervised by Professors Josip Car (Lee Kong Chian School of Medicine at NTU and Imperial College) and CW Tan.
PhD applicants must meet the interdisciplinary graduate program requirement:
https://www.ntu.edu.sg/graduate-college/admissions/programme/interdisciplinary-graduate-programme/admission-requirement#content_c017_col00
and readily have the test scores for GRE, TOEFL, and IELTS for the PhD application at:
https://www.ntu.edu.sg/graduate-college/admissions/programme/interdisciplinary-graduate-programme/how-to-apply