PhD Researcher - AI & Industrial Automation
About Fabrex
Fabrex is redefining the manufacturing sector through cutting‐edge SaaS solutions, focusing on Sales and Post‐Sales, Production Planning, and Management and Operations. Headquartered in Lleida, our platform helps factories transition smoothly into the digital age by offering flexible, secure, and customizable solutions tailored to business needs.
About the Role
We are looking for a PhD Researcher to join our R&D / Product team and work at the intersection of generative AI and real‐world industrial automation. This is a unique opportunity to apply cutting‐edge research to tangible manufacturing challenges — where determinism, reliability, and safety truly matter.
You will lead research initiatives around generative AI applied to industrial process configuration and optimization, develop capabilities that allow non‐technical customers to create their own custom applications within the Fabrex platform, and explore the use of Vision‐Language‐Action models (VLAs) for robotic automation in real factory environments.
What You'll Do
Research and develop generative AI solutions for automatic configuration and optimization of industrial processes within Fabrex.app
Design ML/DL architectures that meet the determinism and reliability requirements of industrial environments
Develop custom app generation capabilities so non‐technical users can create and configure their own solutions using generative AI
Explore and prototype Vision‐Language‐Action models (VLAs) for robotic automation in real manufacturing settings
Evaluate and select foundational models (LLMs, VLMs) for integration into the product
Define and execute experiments to validate product hypotheses related to AI applied to industry
Build robust ML/DL pipelines: from training and validation to production deployment with monitoring
Collaborate with the Product team to translate research breakthroughs into the Fabrex.app roadmap
Contribute to the company's intellectual property: patents, applied papers, technical documentation
Stay current with the state of the art in generative AI, robotics, and industrial automation
Requirements
PhD in Artificial Intelligence, Machine Learning, Robotics, Industrial Engineering, or a related field
Proven experience in software development and AI systems (Python, PyTorch/TensorFlow, MLOps)
Deep knowledge of applied generative AI: LLMs, code generation, autonomous agents
Interest and/or experience in industrial process automation and manufacturing environments
Understanding of the determinism, reliability, and safety requirements of industrial settings
Experience or demonstrable interest in robotics, Vision‐Language‐Action models (VLAs), and perception‐action systems
Familiarity with production ML/DL pipelines: training, validation, deployment, and monitoring
Ability to translate cutting‐edge research into applied, scalable solutions
High level of English (reading, scientific writing, and communication)
Nice to Have
Publications in relevant conferences or journals (NeurIPS, ICML, ICLR, ICRA, CoRL, or similar)
Experience with MLOps tools: experiment tracking (W&B, MLflow), model registry, CI/CD for ML
Hands‐on experience with robotic systems or simulation environments
Ventajas
Opportunity to work in an environment certified as a "GREAT PLACE TO WORK" by our employees.
An inclusive, collaborative work culture focused on continuous improvement.
Professional development through training programs and personalized career plans.
An emotional salary package focused on your wellbeing, including:
Free fruit and coffee at the office
Co‐funded catering and vending service
Health insurance and medical check‐ups
Flexible working hours with start time between 7:30 AM and 9:30 AM
Intensive working hours on Fridays and during summer
A day off on your birthday
Personal day off for personal matters
23 working days of vacation
Flexibility with local public holidays
Flexibility to access your salary with just one click
Discounts on Industry 4.0 technology
Electric car charging point, bicycle and scooter parking at the office
Team building activities, ping‐pong at the office, and much more!
Our commitment is to the wellbeing and professional growth of our employees in an environment of diversity, inclusion, respect, and equal opportunities.
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