The Aiden lab’s work has been featured on the cover of Nature, Science and Cell and has included seminal advances in a diverse array of fields spanning molecular biology, biophysics, linguistics, computer science, and mathematics. These include the invention of three dimensional genome sequencing, and consequent discoveries of the mechanisms of genome compartmentalization (Lieberman-Aiden et al., Science, 2009; Lieberman Aiden, Science, 2011) and loop extrusion (Sanborn & Rao et al., PNAS, 2015); the first reliable, genome-wide maps of chromatin looping (Rao & Huntley et al., Cell, 2014); the development of 3D genome surgery to modify genome folding using targeted mutations (Sanborn & Rao et al., PNAS, 2015); the development of highly efficient tools to visualize and analyze genomic contact data (Durand, Robinson et al., Cell Systems, 2016; Durand, Shamim, Cell Systems, 2016; Robinson et al., Cell Systems, 2018); the development of culturomics and the Google Ngram Viewer (Michel et al., Science, 2011); the discovery of an inverse-square principle in historical linguistics (Lieberman et al., Nature, 2007); and work on evolutionary graph theory (Lieberman et al., Nature 2005).
Responsibility:
The Post-doctoral fellow will be working on methods to explore the folding of the human genome, including the development of new technologies.
Requirement:
An ideal candidate would be capable of navigating the lab’s interdisciplinary landscape and would possess a background in mathematics, computer science and microscopy. Prior familiarity with LAMMPS, molecular dynamics, Monte Carlo simulations, and computational polymer physics is useful though not required. Experience with wet lab biology is useful though not required.
Qualified applicants should provide the following items in English:
1. Curriculum Vitae including academic background and work experience
2. List of publications and up to 3 representative publications as PDFs
3. Contact details of three referees, one of which should include most recent supervisor. References will be requested after the initial selection.
Qualified applicants interested in this position should submit the above documents directly to hr_siais@shanghaitech.edu.cn.