Computer Science and Engineering, University of Tennessee

2796 9143
Position ID:University of Tennessee-Computer Science and Engineering-POSTDOC [#9143]
Position Title: Postdoc in Computational Systems Biology
Position Type:Postdoctoral
Position Location:Chattanooga, Tennessee 37403, United States [map]
Subject Areas: Bioinformatics
Computational Systems Biology
Computer Science / Computational Biology/Bioinformatics
Computational Genomics
Computational/Mathematics (more...)
Starting Date:2017/06/01
Appl Deadline: finished (posted 2017/05/04)
Position Description:    

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Postdoc Position in Computational Systems Biology

Probabilistic Gene Network Modeling of Cellular Aging



A postdoc position is available to conduct quantitative modeling of cellular aging using probabilistic gene networks, a novel research direction funded Prof Hong Qin’s NSF CARERR award. Candidates should have an inter-disciplinary training background, strong quantitative and computational skills, and be proficient of either R, MATLAB, or Python. Strong verbal and written communication skills are expected.


Potential research topics include understanding lifespan extension effect of dietary restriction through mathematical modeling and analysis of various genome-scale data sets, understanding lifespan as a quantitative trait using gene networks, and develop new network/pathway analysis methods, and develop automatic image analysis algorithm for high throughput phenotyping of cells. This postdoc researcher will be located at the SimCenter, a Center for Excellence in Applied Computational Science and Engineering, and has access to state-of-the-art high-performance computing facility. This computational position is expected to collaborate with both computational and experimental biologists.


This position offers competitive salary and benefit. Candidates should complete Ph.D. training before starting this position. The starting date can be as early as August 1, 2017. Review of applications will be on a rolling basis until the appropriate candidate has been identified.

University of Tennessee at Chattanooga is located at Chattanooga Tennessee. Chattanooga is a scenic city, once voted the “Best Outdoor City” and twice as American’s “Best Town Ever”.


Application should be applied through Application materials should include a cover letter, a curriculum vitae, a research statement, sample publications, and three reference letters. Questions and inquiries can be addressed to

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Contact: Hong Qin
Email: email
Postal Mail:
615 McCallie Avenue
Dept 2302 EMCS 313B
Web Page:

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