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Georgia Southern University

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Postdoctoral Fellow in AI Research Collaborator at Georgia Southern University Georgia Southern University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral position with a proposed salary of $65,000 per year, paid monthly. Exempt position.

Deadline

Oct 1, 2026

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Country

United States

University

Georgia Southern University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Database Management
High Performance Computing
Gpu Computing
Statistics
ML

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About this position

Georgia Southern University is inviting applications for a Postdoctoral Fellow – AI Research Collaborator based at the Statesboro Campus, Georgia, United States. This role sits within the Office of Research and Innovation and Information Technology Services, in partnership with the AI: Automation and Humanistic Application ICUE.

The position focuses on interdisciplinary research at the intersection of artificial intelligence, machine learning, high-performance computing, and applied scholarship. The fellow will help faculty, especially those in non-computational fields, translate research questions into computationally feasible AI/ML approaches, support data preparation and reproducibility, and contribute to interdisciplinary manuscripts and grant proposals.

Research and technical responsibilities include supporting HPC and GPU workflows, helping researchers use shared computing resources, assisting with external resource opportunities such as NAIRR, and contributing to federal proposals for agencies such as NSF, NIH, DOE, USDA, and others. The role also involves drafting Data Management and Sharing plans and Facilities, Equipment, and Other Resources sections, and helping expand use of Georgia Southern’s Talon HPC cluster for GPU-accelerated AI/ML workloads.

Eligibility highlights: PhD earned within the last five years in Computer Science, Data Science, Computational Engineering, Bioinformatics, Computational Social Science, or another highly quantitative field with substantial machine learning/deep learning/computational research. Applicants should have hands-on experience with PyTorch, TensorFlow, or similar tools, plus experience with GPU-accelerated computing and HPC clusters. A strong publication record is required; grant-writing, Docker/Apptainer, version control, and responsible AI experience are preferred.

Funding: full-time postdoctoral appointment with a proposed salary of $65,000 per year, paid monthly.

Application: submit a resume, cover letter, and two professional references through the university careers portal. Review may begin on 2026-10-01; the position is open until filled.

Funding details

Full-time postdoctoral position with a proposed salary of $65,000 per year, paid monthly. Exempt position.

What's required

PhD earned within the last five years in Computer Science, Data Science, Computational Engineering, Bioinformatics, Computational Social Science, or another highly quantitative field with substantial emphasis on machine learning, deep learning, or computational research. Required experience includes building, training, fine-tuning, and evaluating ML/DL models using frameworks such as PyTorch or TensorFlow, hands-on GPU-accelerated computing and HPC cluster experience in shared environments, and a strong record of scientific productivity through peer-reviewed publications or comparable scholarly outputs. Preferred experience includes competitive federal grant proposals or externally funded research, containerized and reproducible research environments (Docker, Apptainer/Singularity), version control and research software best practices, and knowledge of responsible AI, ethics, privacy, security, reproducibility, and bias mitigation. Must be legally authorized to work in the United States for the duration of employment without university assistance.

How to apply

Prepare a resume, cover letter, and two professional references. Submit the application through the university careers portal using the provided job posting link. Applications are reviewed beginning October 1, 2026, and the position is open until filled.

More information can be found here

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