Max Planck PhD Studentship in Population Studies

The Max Planck Institute for Demographic Research (MPIDR) is inviting applications for a 4-year PhD position at the University of Hong Kong (HKU) and at the Max Planck Institute for Demographic Research (MPIDR). The position is jointly funded by the Faculty of Social Sciences/HKU Research Hub of Population Studies, and the Department of Digital and Computational Demography at MPIDR.  

This PhD position is an excellent opportunity for highly-motivated and qualified candidates who are interested in the opportunities offered by the best of both worlds: a world-class university in Asia, and top-notch research institute in Europe. Upon successfully completing the PhD position, the applicant will be awarded a degree from HKU, having gained significant experience in conducting demographic research abroad.

The successful applicants to this programme will:

• be registered as full-time PhD students at HKU but are expected to enrol in the International Max Planck Research School for Population, Health, and Data Science from the beginning of their doctoral training at HKU;
• be required to meet the admission requirements of both institutions;
• be co-supervised by supervisors at both institutions;
• spend the first 18 months in Hong Kong at HKU. They will work in a vibrant community of PhD students and researchers in the HKU Research Hub of Population Studies in the Faculty of Social Sciences. The following 2 years of the studentship will be spent in Germany, at the MPIDR, in the Department of Digital and Computational Demography. Within the Department, the student will be affiliated with the Lab of Migration and Mobility or the Lab of Population Dynamics and Sustainable Well-being, depending on interest and fit.  This would provide further opportunities for training and networking. Students are expected to spend the last 6 months of their studies at HKU;
• submit a single thesis to HKU, which will be examined following existing rules and guidelines at HKU.

More information

Image

Image

Image