The Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at the University of Texas at Arlington is inviting applications for PhD positions in Deep Learning, Data Science, and AI Systems for Spring and Fall 2026. The center is renowned for its research in data science, machine learning, deep learning, complex system modeling, and optimization, with applications spanning health informatics, smart energy, smart agriculture, and autonomous AI-driven intelligent systems such as UAVs, UGVs, and robotics. Applicants should possess a strong quantitative background, solid programming skills, and experience in machine learning and deep learning. The research directions include deep learning and decision analytics for healthcare and biomedical research (e.g., cancer imaging analytics, precision medicine), generative AI for computational life-science and drug discovery, multivariate time series and sequential data modeling, interpretable and probabilistic deep learning, AI-driven smart systems for agriculture, and AI engineering for intelligent agent systems including large language models. Accepted PhD students will receive full financial support, covering tuition, stipend, and benefits for the entire duration of the program. The COSMOS Center offers a vibrant research environment with strong industry connections, and its graduates are highly competitive in the US job market, securing positions at leading companies such as American Airlines, IBM, Samsung AI, and Bank of America, as well as faculty roles at top universities. To apply, candidates should send their CV, transcripts, and any supporting materials (such as papers, certificates, thesis, or awards) to Dr. Shouyi Wang at [email protected]. Applications are reviewed promptly, and feedback is provided quickly. The center also offers visiting student and scholar positions in related areas. UTA is one of the largest public universities in the US, with more than 40,000 enrolled students and a strong reputation for research and industry collaboration. The COSMOS Center is recognized for impactful, industry-connected research activities and offers immense opportunities for academic and professional growth in fields such as computer science, statistics, biomedical engineering, electrical engineering, robotics, and agriculture.