Principal Research Scientist - Frontier Industrial AI

Define and lead ambitious research initiatives in frontier industrial AI Develop new models, algorithms, evaluation methods, and system architectures Build high-quality experimental systems and validated research prototypes Publish at leading AI and machine learning venues Contribute to AVEVA’s patent and IP portfolio Create benchmarks, datasets, and evaluation frameworks for industrial AI Partner with leading AI labs, universities, and technology organizations Take research from initial hypothesis through prototype and validation Help shape AVEVA’s longer-term AI research direction and technical strategy Requirements A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions Strong hands-on ability in AI experimentation and software development Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure Deep expertise in one or more areas including foundation models, multimodal learning, time-series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation Strong scientific judgment and ability to design rigorous experiments and communicate results clearly High agency, intellectual curiosity, and constructive problem-solving mindset Ability to collaborate across research, engineering, product, and other teams Experience with industrial, manufacturing, energy, infrastructure, engineering, or scientific data preferred Recent publications at leading machine learning, AI, data mining, robotics, or systems venues preferred Experience developing models at scale or building complex research systems preferred Experience with simulation environments, digital twins, multimodal data, or industrial time series preferred Track record of initiating and advancing research projects with limited supervision preferred Successful applicants must pass drug screening and a comprehensive background check Core Competencies Demonstrates deep expertise in machine learning and artificial intelligence, with a strong focus on developing innovative models and algorithms. Proven ability to lead research initiatives, publish findings, and collaborate effectively across teams in industrial settings. Hard Skills Machine Learning Artificial Intelligence Algorithms Evaluation Methods System Architectures Generative Models Reinforcement Learning Simulation Time-Series Modeling Representation Learning Soft Skills Intellectual Curiosity Problem-Solving Mindset Scientific Judgment Communication Skills High Agency Industry Keywords Industrial AI Research Initiatives Prototypes Patents Data Mining Robotics Engineering Data Manufacturing Energy Infrastructure Tools & Technologies Simulation Environments Digital Twins Multimodal Data Industrial Time Series #J-18808-Ljbffr Jobtailor