Research Internship – AI for Sustainable Industry

IntroductionResearch scientists at IBM work to invent the technology of tomorrow. Joining us means choosing the big, urgent and mind-bending work that endures and shapes generations. We are passionate about both blue sky innovation and seeing clients and the open source community use our work in the real world. The company's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.Your Role And ResponsibilitiesAt the Dublin lab, the AI for Sustainable Industry team works to bring AI capabilities to industrial challenges like automating operations, optimizing workflows, predicting demand, and recommending next best actions. From research to product, we are interested in scientific contributions to the field, as well as real-world innovative solutions.We are seeking intern candidates to help us advance our research agenda in areas such as: AI agents guided by knowledge graphs, AI driven resource management, agent evaluation and benchmarking, and approaches to world model building.The internship aims for publications at top academic venues. During your internship you will work in close collaboration with other researchers and engineers to conduct cutting edge research and software development. Demonstrated communication skills are essential.Preferred EducationMaster's DegreeRequired Technical And Professional ExpertiseFundamentals of machine learning and artificial intelligenceSolid understanding of mathematical concepts such as probabilities, statistics and linear algebra.Strong Python programming skills building and evaluating ML and AI projectsPreferred Technical And Professional Experience Knowledge in one or more of the following topics: finetuning algorithms (e.g., LoRA, DPO, etc.), reinforcement learning, model architectures (e.g., transformers, state-space models, etc.), LLM-based agents, agentic workflows, multi-agent systems, RAG, agent frameworks (e.g., LangGraph, CrewAI, etc.), time series dataLate stage PhD student in computer science, engineering, or related technical field