Publisher
source

University of Nevada Reno

Postdoc, MS, and PhD openings in Agentic AI and AI for Science at the University of Nevada, Reno University of Nevada, Reno in United States

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

The postdoctoral position is supported by the U.S. Department of Energy's Genesis Mission. No stipend amount, tuition coverage, or other funding details are provided for the MS and PhD openings.

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Country

United States

University

University of Nevada Reno

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Keywords

Computer Science
Machine Learning
Information Technology
Artificial Intelligence
Robotics
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About this position

MAGI Lab at the University of Nevada, Reno is hiring a Postdoctoral Researcher and recruiting several MS and PhD students in AI.

The postdoc is supported by the U.S. Department of Energy's Genesis Mission and focuses on agentic AI for complex scientific and engineering decision-making. Research interests highlighted in the post include multi-agent systems, large language models (LLMs), retrieval-augmented generation (RAG), NLP for scientific and technical documents, knowledge graphs, semantic reasoning, trustworthy AI, human-AI collaboration, and explainable AI.

The lab is also looking for motivated MS and PhD students to work on Agentic AI and AI for Science, Trustworthy AI, LLMs, and RAG, Multimodal and geometric machine learning, and AI for sustainable energy, battery recycling, and critical mineral recovery.

Applicants should have relevant background or interest in the listed AI areas. The post does not mention a deadline, stipend amount, or formal application portal; it asks interested candidates to contact the PI and review the attached flyer for details.

Contact: [email protected]. Lab website: https://lnkd.in/gW-g9NyR

Funding details

The postdoctoral position is supported by the U.S. Department of Energy's Genesis Mission. No stipend amount, tuition coverage, or other funding details are provided for the MS and PhD openings.

What's required

Candidates are sought with expertise in agentic AI and multi-agent systems, large language models (LLMs), retrieval-augmented generation (RAG), NLP for scientific and technical documents, knowledge graphs, semantic reasoning, trustworthy AI, human-AI collaboration, and explainable AI. Motivated MS and PhD students are invited; no additional degree, GPA, or test requirements are stated in the post.

How to apply

Interested candidates should contact Ankita Shukla by email and review the attached flyer for postdoctoral position details. Share the opportunity with others if relevant.

More information can be found here

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