Recruitment Announcement for Post-Doctoral Positions in Purple Mountain Observatory, Chinese Academy of Sciences in 2021(Phase I)
Number | Recruitment direction | Professional background and other requirements | Co-adviser | Email |
1 | The postdoc will mainly work on any one of the three following research areas (1) Developing interferometry technique for 21-cm observation, mainly on foreground removal and quasi-redundant baseline calibration;(2)cross-correlation technique with spectroscopic survey and photometric survey; (3) general cosmology studies, including cosmic microwave background radiation and dark matter probes. | Good knowledge of cosmology, some experience in radio astronomy, and very good programming skills .
| Yinzhe Ma | ma@ukzn.ac.za |
2 | Research on thermal physics, activity and shape/morphology evolution of comets and small icy bodies. Research on ice composition and volatile abundance in cometary coma based on millimeter and sub-millimeter observations. | Applicants should have a Ph.D degree in planetary science, celestial mechanics, astrometry or related field, and have familiarity with study of solar system small bodies, and have published at least 2 SCI papers as the first author. Applicants with ground based astronomy observations are preferred. Applicants should also possess strong coding capabilities using Fortran/C/Python/Matlab, as well as proficient written and oral communication skills in English. | Jianghui Ji Yuhui Zhao | zhaoyuhui@pmo.ac.cn |
3 | 1. Galactic Archaeology, Structure of the Milky Way, Near-Field Cosmology 2. Star formation,Evolution of stellar populations, Variable stars
| Applicants for the positions should have a PhD in astronomy or related fields. The successful candidates will join the team in Purple Mountain Observatory and work on data reduction and analysis for the time-domain imaging surveys with the USTC-PMO 2.5 meter wide-field survey telescope (WFST). Experience in large imaging surveys and/or machine learning is desirable. The successful candidates will be expected to work in star formation, Galactic Archaeology, Galactic structure using the (public and oncoming) survey data. | Xianzhong Zhen Fang Min | xzzheng@pmo.ac.cn mfang@pmo.ac.cn |