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Postdoctoral Research Associate Position  Full-Time

We announce an opening for a postdoctoral fellowship position in the Texas A&M University Superfund Research Program Data Science Core team, which is affiliated with the Texas A&M Energy Institute at Texas A&M University.  The postdoctoral fellow is going to perform research on human health and environmental issues via data analytics and optimization. Below we provide a brief description of the TAMU Superfund program and qualifications that we are looking for the candidates.

The role of the Data Science Core:
One of the essential components of the Texas A&M Superfund Research Center, the Data Science Core serves as basis for translating the data produced by the multi-disciplinary research projects into useful knowledge for the community via data collection, quality control, analysis, and model generation. The core will utilize state-of-the-art methods in data science, optimization, and machine learning algorithms.

Required Education:

       PhD

Preferred Education/Experience:

       PhD in Computational Science, Engineering, Bioinformatics, Data Science, or equivalent

       Expertise in statistics, machine learning, and data mining

       Excellent programming skills with knowledge of at least one of the following programming languages: C/C++, R, Java, Matlab or similar

       Expertise in web tool development

       Willingness to work in multi-disciplinary collaboration environment

       Excellent English skills



Applicants must apply at the following link: (www.tamengineeringjobs.com<http://www.tamengineeringjobs.com>),

Posting Number E160FY17.


The Members of Texas A&M Engineering are all Equal Opportunity/Affirmative Action/Veterans/Disability employers committed to diversity.
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Professor Stratos Pistikopoulos FREng
TEES Distinguished Research Professor
Interim Co-Director, Texas A&M Energy Institute
Deputy Director, Texas A&M Energy Institute
Editor-in-Chief, Computers & Chemical Engineering
Artie McFerrin Department of Chemical Engineering
327 Giesecke Engineering Research Building
3251 Texas A&M University
College Station, TX 77843-3251
e-mail: [log in to unmask]<mailto:[log in to unmask]>
tel: +1-979-458-0259
http://parametric.tamu.edu/
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