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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