Postdoctoral Fellow, Biomedical Engineering / Wang

Postdoctoral Fellow, Biomedical Engineering / Wang

New Orleans, LA
Open Date:
Nov 15, 2016

Post-doctoral fellow/PhD study in genomics and imaging data analysis

Several post-doctoral fellow or PhD graduate research assistant positions are available immediately to work on the development of machine learning, image processing, statistical and signal processing approaches for the integration of genomic and imaging data. More information about our research work can be found at our website ( The position will be funded by both NIH and NSF. The candidate will have a chance to collaborate with people at Tulane School of Sciences and Engineering, School of Public Health and Tropic Medicine and School of Medicine. Tulane is a private university and a member of the 63 prestigious Association of American Universities (AAU). Tulane is ranked as the 39th best national university in 2016 by US News Report, providing a unique environment for learning and research. The salary for post-doctoral fellow is negotiable, commensurate with the experiences of the candidate.


(1) A PhD in Applied and Computational Mathematics, Biomedical Engineering, Electrical Engineering, Computer Science, Statistics or other related fields; (2) Programming skills with MATLAB or C; (3) Experience and knowledge of signal processing, machine learning and statistical analysis; (4) Knowledge of biology and genomics is desirable but not required.

Application Instructions:

Please submit a CV and a list of three references.

For further information, please contact Dr. Yu-Ping Wang [email protected].

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