A Research Assistant Professor position is available immediately to work on the development of machine learning, image processing, statistical and signal processing approaches for the analysis and integration of genomic and MRI data. More information about our research work at Multiscale Bioimaging and Bioinformatics Laboratory of Tulane Biomedical Engineering Department can be found at our website (http://www.tulane.edu/~wyp/). 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 44th best national university in 2018 by US News Report, providing a unique environment for learning and research. The salary is commensurate with the experiences of the candidate.

(1) A PhD 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.

To apply for the position, please submit your CV with a list of three references.

For questions, please contact

Yu-Ping Wang, PhD

Professor of Biomedical Engineering, Computer Science, Neuroscience,

& Department of Biostatistics and Bioinformatics

Tulane University

500 Lindy Boggs Bldg. New Orleans, LA 70118

wyp@tulane.edu

Please Note: Tulane University has officially adopted a mandatory COVID-19 vaccination policy. All employees and visiting faculty must be fully vaccinated with a COVID-19 vaccination or obtain approval for a medical or religious exemption prior to beginning employment.

Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane is actively building a campus culture grounded in our values of EDI and anti-racism. We seek and welcome candidate applications from historically underrepresented groups, such as BIPOC (Black, Indigenous, People of Color), women, LGBTQ+, those living with disabilities, and veterans.  

Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity and creating a community and culture that fosters a sense of belonging for all. We are a recognized employer and educator valuing AA/EEO and will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, or any other status or classification protected by federal, state, or local law.  It is important to us to intentionally seek candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane’s Strategy for Tomorrow and encourage all qualified candidates to apply.