Position: Post-doctoral fellow/PhD position in statistical genomics and imaging analysis

Organization: Tulane University

Location: New Orleans, USA

Deadline: Open until filled


A post-doctoral/PhD graduate research assistant position is available immediately to work on the development of machine learning and signal processing algorithms with applications to the integration of genomic data with fMRI imaging. The position will be funded by the NIH and 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 always ranked among the top 39th best universities in 2016 by US News Report, providing a unique environment for learning and research. The PhD student will receive up to $27500 support per year with tuition waiver and other benefits. The salary for post-doctoral fellow is negotiable, commensurate with the experiences of the candidate.


(1) A degree 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.


Yu-Ping Wang, PhD

Department of Biomedical Engineering

Department of Biostatistics and Bioinformatics

Tulane University

500 Lindy Boggs Bldg. New Orleans, LA 70118

Phone: 504-8655867 (USA)

Email: wyp@tulane.edu

To apply for the position, please send CV with a list of three references to wyp@tulane.edu

For PhD research assistant, please apply our BME graduate program through the following link: