The successful candidate will carry out cutting-edge research in multi-scale modelling of cell behavior during injury response in a tissue context. The position is part of an interdisciplinary team at the Centre for Computational Biology (CCB) at the Duke-NUS Medical School Singapore, and at the Biosystems and Micromechanics (BioSyM) group of the Singapore-MIT Alliance for Research and Technology (SMART), under the supervision of Prof. Lisa Tucker-Kellogg and Prof. Peter So. This position will be based in Singapore, with the possibility of travel to MIT (Cambridge, Massachusetts) as part of the collaboration.
Specific goals will be to develop a computational simulation that recapitulates image-based evidence about stem cell division; migration of new cells toward sites of injury; appearance of differentiation; and cell-cell interaction, revolving around the basement membrane as an organizing structure of the tissue. Further development of the project would be adapted according to the interests of the candidate, and might include fibrotic/fibrogenic processes with evidence from SHG imaging of collagen.
This type of research uses biological evidence to refine and improve computational models, and then uses computational models to better interpret tissue imaging data, in a cycle of mutual benefit. The job would likely focus on a single tissue type (e.g., muscle), but the scientist would provide technical assistance to colleagues who focus on other tissue types (e.g., liver, skin). The majority of the work will be computational modelling and simulation, so candidates are expected to enjoy programming as their primary workload. MATLAB is frequently used but other choices are welcome.
Much of the biological data for this work would come from our experimental collaborators, but this job also requires gathering previously published information through independent reading. Candidates are expected to be comfortable reading primary research articles in biological journals.
Please send a cover letter and a full CV (which is a detailed, multi-page resume) via email to Prof. Lisa Tucker-Kellogg (email@example.com) with copy (CC) to Prof. Peter So (firstname.lastname@example.org). Note that a single-page business resume is not sufficient for us to understand the extent of your education, experience, and research.
All applications will first be screened for the qualifications listed above. To ensure we consider each application fairly, candidates are invited to tell us explicitly what they have done that fulfils each of the required qualifications. This explanation could be part of the cover letter or in a separate bullet list. Applicants are invited but not required to submit the Duke-NUS employment application form.
Applications will be accepted from 26 Jan 2015 until the position is filled. Singapore citizens and permanent residents are particularly encouraged to apply. We regret that only short-listed applicants will be contacted for follow-up. Any applicant not selected for this position will have his or her application held (confidentially) for 6 months, in case another position becomes available.
Salary and benefits will be determined according to university guidelines.
Mathematical Modelling, Cellular Behaviour, Wound healing, Injury Response, Biophysics, Image analysis, Collective Migration, Self-Organization, Complexity Science, Self-Assembly of Tissue, Agent-Based Models, Finite Element Method, Shape Representation, Differential Equations, Cell Morphology