Updates

Author: rfarell

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+{"componentChunkName":"component---src-pages-markdown-remark-frontmatter-slug-js","path":"/null/","result":{"data":{"markdownRemark":{"html":"<!-- ---\ntitle: \"DBG Internship Opportunity 2025\"\nslug: \"/internship-job-dbg-2025\"\ndate: \"2025-03-05\"\n---\n\n### Summer 2025 Internship Opportunity – Predictive Intelligent Networking (PIN) Project\n\nWe are excited to announce a paid internship opportunity for Summer 2025 with the Dynamic Belief Games (DBG) project at the University of Texas at Austin! Our team is developing next-generation Predictive Intelligent Networking (PIN) agents—AI-driven solutions designed to optimize communication in dynamic, adversarial networks. This is a unique chance to work on cutting-edge research that blends game theory, machine learning, and stochastic processes, with real-world applications in predictive modeling and network scalability.\n\nWe're accepting applications now and welcome students from diverse backgrounds, including Mathematics, Physics, Computational Science, and Computer Science. Whether you're exploring a future Ph.D., seeking a meaningful side project, or eager to dive into innovative AI research, we'd love to hear from you!\n\n**What You'll Do:**\n- Contribute to the development and training of AI-based PIN agents.\n- Explore optimization strategies for dynamic communication networks.\n- Work alongside a talented team under the guidance of Prof. Chandrajit Bajaj and Lead Research Scientist Ryan Farell.\n\n**Who We're Looking For:**\n- Enthusiastic students with an interest in AI, game theory, or stochastic processes.\n- Bonus points if you have experience with computational modeling or risk minimization—though a willingness to learn is what matters most!\n\n**Details:**\n- **Duration:** Summer 2025  \n- **Compensation:** Paid position  \n- **Location:** University of Texas at Austin  \n\n**How to Apply:**\nPlease send your resume and a brief note about your interest in the project to both:  \n- Ryan Farell: [email protected]  \n- Chandrajit Bajaj: [email protected]  \n\nApplications are open now, and we can't wait to meet our next team member! Join us in shaping the future of intelligent networking.\n\n---\n\n![drone-swarm.jpg](../images/projects/dynamic_belief_games/drone-swarm.jpg)  \n*Figure: A visual of our DBG gym, demonstrating a drone swarm scenario.*\n\n![dynamic_belief_games_diagram.png](../../images/projects/dynamic_belief_games/dynamic_belief_games_diagram.png)  \n*Figure: The main diagram explaining Dynamic Belief Games.*\n\n![ts-predictions.jpg](../../../images/projects/dynamic_belief_games/ts-predictions.jpg)  \n*Figure: This image shows time series prediction – we generate distributions over future communication demands.*\n\n![integrated_network_v4.png](../../../../images/projects/dynamic_belief_games/integrated_network_v4.png)  \n*Figure (Soldier's Network): An example of our expanded MANET overlay, illustrating how Predictive Intelligent Networking (PIN) Agents (e.g., NetTop and Observability Agents) interface with heterogeneous Army radio networks. The figure depicts multiple communication assets—including soldier nodes, drones, a military cell tower, a Starlink dish, and a satellite—operating in an adversarial environment.* -->","frontmatter":{"title":""}}},"pageContext":{"id":"2ae89057-13bd-5610-a557-cc5a8c9e059d","frontmatter__slug":null,"__params":{"frontmatter__slug":"null"}}},"staticQueryHashes":["1689586968"],"slicesMap":{}}