- 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