The Shanghai Institute of Immunity and Infection (SIII) is a research institute of the Chinese Academy of Sciences. It is determined to serve global public health and is an important force active in the field of global infectious disease prevention and control. Transformational research is an important base for gathering international, high-end talent.
The Unit of Statistical Genetics of Bacteria develops new methods for analyzing large scale genomic datasets. We aim to understand the causes and consequences of genetic variation in highly recombining bacterial species from historical, functional, medical, ecological, and evolutionary perspectives. Prof. Falush graduated from University of Cambridge and University College London, and has worked at the University of Tokyo, the Max Planck Institute (Germany), and the University of Oxford. Since 2019, he has been a group leader in Shanghai. He has published more than 80 papers in high-impact journals (Science, Nature, PLoS Genetics, Elife) and has been awarded, for example, the Hundred Talents Program Fund of the Chinese Academy of Sciences and an NSFC Senior Foreign Talent grant.
The Unit of Statistical Genetics of Bacteria (PI: Prof. Dr. Daniel Falush) is recruiting a postdoctoral fellow to work on the population genetics of highly recombining bacterial pathogens, including Helicobacter pylori and Vibrio parahaemolyticus. The fellow will develop novel statistical genetic analyses to address fundamental questions in evolutionary biology.
Recombinogenic bacteria are interesting because their genetic variation shares features with eukaryotic species, including a history of population splits and well mixed gene pools, but like other bacteria have clonal structure. Our work has for example identified “deep clones”, “ecospecies” and admixture driven by deleterious mutations. We have approaching 10,000 genomes from V. parahaemolyticus and H. pylori as well as a phenotyping experiments and transcriptomic data and are interested to characterize additional highly recombining species, based on a large database of bacterial variation.
[Recruitment position]
Postdoctorate: (No. DF-P-01) 1 person
Work content:
1. Curation and analysis of large-scale genomic and transcriptomic datasets.
2. Development of new statistical genetic tools
3. Assist the project leader to complete other scientific research related work.
Application conditions:
1. Possess a doctoral degree in a relevant discipline and be under the age of 35;
2. Experience in analyzing genomic datasets.
3. Programming ability.
4. Good English reading and writing skills;
5. Be honest, rigorous and down-to-earth, with strong independent working ability, sense of responsibility and teamwork spirit.
[Salary package and career development]
1. Provide competitive salaries and pay five insurances and two funds;
2. Support for postdoctoral personnel Apply for the national "Postdoctoral Innovative Talent Support Program", the "Special Research Assistant Funding Project" of the Chinese Academy of Sciences, the "China Postdoctoral Science Foundation", Shanghai "Super Postdoctoral" and various national and Shanghai science and technology projects, postdoctoral funding More than 10 projects and various youth talent projects;
3. For postdoctoral fellows and assistant researchers included in the management of "Special Research Assistant Posts of the Chinese Academy of Sciences" , they will be promoted to deputy senior after leaving the station or staying at the end of the project;
4. Postdoctoral fellows will settle in Shanghai as soon as they enter the station, and postdoctoral fellows, spouses, and children who stay in Shanghai after leaving the station can move and settle in Shanghai.
[How to apply]
Please send the following application materials in PDF to daniel.falush@siii.cas.cn, hrips@siii.cas.cn mails at the same time, please indicate "Statistical Genetics of Bacteria** position (job number) in the subject of the email ***)". After passing the preliminary examination, the applicants will be notified for an interview and will be hired based on merit.
1. CV;
2. Self-recommendation letter, 2 recommendation letters, one of which should be from the candidate’s doctoral advisor;
3. Scanned copy of degree certificate and Chinese ID card or Passport.
