Post Doctoral Fellow Position on Trustworthy AI at University of Arkansas

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The Department of Computer Science and Computer Engineering at the University of Arkansas has an opening for a one-year postdoc position. The position will start immediately and could be renewed depending on the performance. The Post Doctoral Fellow scientist in this position will conduct research projects and develop innovative trustworthy artificial intelligence models to achieve privacy, fairness, robustness, and interpretation. 

The Post Doctoral Fellow scientist will work with the supervisor, Dr. Xintao Wu, to develop prototype systems, publish research papers, write grant proposals, supervise doctoral students’ work, and conduct outreach and educational activities on research projects. Applicants should have a Ph.D. degree in computer science or related areas such as computer engineering, information technology, or statistics conferred by the start of employment. Academic research track record in machine learning, deep learning, big data analytics, or statistics and demonstrated programming skills in machine learning and deep learning are required.

For a complete position announcement and information regarding how to apply, visit https://uasys.wd5.myworkdayjobs.com/UASYS/job/Fayetteville/Post-Doctoral-Fellow---12-MONTH_R0015096

Applicants are requested to upload to the University of Arkansas's employment system their letter of application, a comprehensive curriculum vita, and the names, letters of recommendation, statement of research, and transcripts. Inquiries or questions may be directed to Dr. Xintao Wu at [email protected].

The University of Arkansas located in Fayetteville is the flagship campus of the University of Arkansas System. Fayetteville is widely recognized as one of the best college communities in the United States. With a population of over 90,000, nearing half a million regionally and the presence of the headquarter of Walmart, Fayetteville has all the resources and advantages of a large city and is complete with mountain trails, running streams, and serene lakes. For more information about the research, see http://sail.uark.edu, and for about the University and its location, see http://www.uark.edu.

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