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Vijayalakshmi Saravanan

Assistant Professor

The University of Texas at Tyler

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United States

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Research Interests

Artificial Intelligence

10%

Electrical Engineering

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Machine Learning

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Computer Science

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Data Science

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Positions1

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Vijayalakshmi Saravanan

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University of Texas at Tyler

Postdoctoral Researcher in High-Performance Computing and AI/ML at University of Texas at Tyler

The University of Texas at Tyler, College of Engineering, Department of Electrical and Computer Engineering, is seeking applications for a Postdoctoral Researcher to join the HPC-AI Research Lab. This immediate opening is ideal for candidates passionate about high-performance computing, artificial intelligence, machine learning, containers, data science, and scientific workflows. The position is supervised by Dr. Vijayalakshmi Saravanan, Assistant Professor, who is actively engaged in interdisciplinary research and collaboration. The successful candidate will have earned a Ph.D. within the last five years and will have the opportunity to work in a dynamic research environment at an R2 Carnegie-classified institution. While preference is given to candidates currently in the USA, strong international applicants are encouraged to apply. The role emphasizes impactful research, cross-disciplinary collaboration, and innovative problem-solving in the fields of computer science and electrical engineering. Applicants should submit their materials through the UT Tyler careers portal (Job ID: 14987). The application process requires all documents to be combined into a single PDF or Word file. The search will remain open until a suitable candidate is identified. For more information about the university and its research environment, visit the provided links. No explicit funding or salary details are mentioned, but the position is a standard postdoctoral appointment at a US university. The announcement highlights the university's commitment to equal opportunity and innovation in research. For questions about the application process or accommodations, contact [email protected]. Key research areas include high-performance computing, AI/ML, data science, and scientific workflows, making this an excellent opportunity for recent Ph.D. graduates seeking to advance their careers in these fields.