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