The Open Access Technology International (OATI) is seeking highly motivated individuals to join our team of AI researchers focused on power systems. This is a fantastic opportunity to gain practical experience working on real-world AI applications alongside leading experts in the energy sector. Our team is tackling critical challenges in electric power system operations using Artificial Intelligence. Responsibilities: * Conduct research on specific AI problems critical to power system operations, leveraging OATI's vast datasets spanning decades (e.g., forecasting load, wholesale electricity market prices, renewable energy generation; optimizing grid reliability, resiliency, and stability; signature analysis and anomaly detection). * Architect and lead the development of enterprise-grade AI platform that integrates advanced generative AI and LLM technologies. * Design and implement Retrieval-Augmented Generation (RAG) frameworks to enhance AI model knowledge retrieval and contextual understanding. * Develop and deploy agentic AI systems capable of autonomous decision-making and multi-agent collaboration. * Build and optimize neural network models tailored to use cases in the energy/power systems industry ensuring high performance and scalability. * Lead the design of multi-agent model architectures to enable complex workflows and interactions between AI agents. * Implement and standardize Model Context Protocol based communication to ensure consistent context management across AI models and agents. * Develop and implement machine learning models using popular frameworks (e.g., TensorFlow, PyTorch) to analyze and extract meaningful insights from power system data. * Participate in the full research cycle, including literature review, data exploration, experimentation, analysis, and presentation of findings. * Collaborate effectively with other researchers, engineers, and data scientists. * Stay up-to-date on the latest AI research and industry trends, driving continuous innovation and adoption of best practices. * Contribute to the development and documentation of technical code. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred. Technical Skills: * Proven expertise with Large Language Models (e.g., LLAMA, BERT) and generative AI technologies. * Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) systems. * Deep knowledge of agentic AI frameworks and multi-agent system design. * Strong background in neural network architectures, including transformers and other models. * Familiarity of Model Context Protocol and best practices for managing AI model context and state. * Proficiency in Python and relevant AI/ML frameworks such as TensorFlow or PyTorch. * Excellent problem-solving skills and ability to communicate complex AI concepts to technical and non-technical stakeholders. * Strong foundation in machine learning concepts, including algorithms (e.g., deep learning, reinforcement learning) and statistical methods. * Experience with AI system security, compliance, and ethical AI considerations. * Knowledge of natural language processing (NLP) pipelines and data engineering. * Familiarity with conversational AI and chat bot frameworks. * Familiarity with version control systems like Git. * Familiarity with SQL and No-SQL database engines is a plus. Research and Project Experience: * Experience conducting independent research or working on AI-related projects. * (For Ph.D. students) A strong publication record demonstrating research experience. * (For Master's students) Experience conducting independent research or working on AI-related projects. Other Skills: * Excellent analytical and problem-solving skills with the ability to tackle complex problems. * Strong communication skills to present research findings and collaborate effectively within a team * Ability to work independently and manage time effectively. * A passion for research and development in the field of AI and a strong interest in the power sector. Benefits: * Gain valuable experience working on real-world AI projects with a significant impact on the future of power systems. * Work alongside leading experts in AI and the energy sector. * Potential for co-authorship on research publications (depending on contribution). * Opportunity to develop your research skills and expertise in a rapidly evolving field. * Be part of a dynamic and collaborative research team working on a critical global challenge.