Ohio State University
1 week ago
Postdoctoral Scholar in Artificial Intelligence and High Performance Computing at The Ohio State University The Ohio State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Ohio State University

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About this position
Postdoctoral Scholar in Artificial Intelligence and High Performance Computing at The Ohio State University, Department of Computer Science and Engineering, Systems and AI (SAI) Research Lab.
The lab works on scalable software systems, artificial intelligence and machine learning (AI/ML), edge-to-cloud computing platforms, digital agriculture, environmental intelligence, and advanced cyberinfrastructure. The postdoc will conduct independent and collaborative research on AI systems, distributed and high-performance computing, edge-to-cloud platforms, and domain-driven applications, with opportunities to develop novel methods, algorithms, software, and reusable platforms.
Research keywords: computer science, AI systems, machine learning, distributed systems, cloud computing, edge computing, high-performance computing, cyberinfrastructure, scientific computing, digital agriculture, environmental intelligence, data-intensive computing.
Eligibility highlights: doctorate completed by the start date in computer science, computer engineering, electrical engineering, data science, agricultural engineering, or a closely related field; relevant research experience; scholarly productivity; strong programming/software engineering skills; and the ability to work in an interdisciplinary environment.
Preferred background: GPU computing, distributed training/inference, HPC systems, cloud-native platforms, edge devices, IoT, federated/distributed data pipelines, open-source software, reproducible research, and mentoring experience.
Location: Columbus, United States (Ohio State University campus / Dreese Laboratories).
Application: submit through the Workday careers portal. The post does not list a deadline in the text provided.
Funding details
Available
What's required
Doctorate completed by the start date in computer science, computer engineering, electrical engineering, data science, agricultural engineering, or a closely related field. Required experience includes demonstrated research in AI/ML systems, distributed systems, cloud computing, edge computing, high-performance computing, cyberinfrastructure, data-intensive computing, computer vision, digital agriculture, or scientific computing; scholarly productivity such as publications, technical reports, open-source software, or equivalent contributions; strong programming/software engineering skills in Python, C/C++, Java, JavaScript/TypeScript, containerization, cloud platforms, workflow systems, distributed computing frameworks, and version control; ability to independently design experiments, analyze results, document work, and communicate findings; and ability to work in an interdisciplinary team. Desired experience includes AI/ML applications for scientific, agricultural, environmental, geospatial, or cyber-physical systems; GPU computing, distributed training/inference, HPC, cloud-native platforms, edge devices, IoT, or federated/distributed data pipelines; deployment across heterogeneous environments; externally funded research projects; mentoring; and open-source/reproducible research practices.
How to apply
Apply through the Ohio State Workday careers portal using the View or Apply link. Current employees and students should log in to Workday for the internal application process. Contact [email protected] for application accessibility assistance.
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