Generative AI for Industrial SCADA & Smart Automation

Euraxess

Dublin

On-site

EUR 30,000 - 50,000

Full time

14 days+

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Benefits offered by this job

Opportunity for conference and journal publications
Skills development in Generative AI and Industrial Automation

Job summary

EURAXESS Czech Republic is offering an MPhil Researcher role at Technological University Dublin focusing on the integration of Generative AI in SCADA systems. The project aims to improve operational efficiency and enhance human-machine interaction in industrial automation.

If you're passionate about AI technologies and looking to develop expertise in the interplay of industrial automation, this position provides a unique opportunity for professional growth while contributing to innovative research.

Qualifications

  • Minimum Bachelor's degree in relevant engineering or computer science discipline.
  • Interest in AI technologies and their industrial applications.
  • Strong analytical skills and problem-solving abilities.

Responsibilities

  • Investigate Generative AI applications in SCADA systems.
  • Develop a prototype AI-assisted SCADA framework.
  • Evaluate effectiveness using simulated industrial scenarios.

Skills

Artificial Intelligence and Machine Learning
Generative AI and Large Language Models (LLMs)
Industrial Automation and Control Systems
Programming (Python, Java, C/C++)
Data Analytics and Decision Support Systems

Education

Bachelor's degree in Electronic Engineering or related field

Tools

AI frameworks
Databases
Cloud platforms

Job description

EURAXESS Czech Republic is offering an MPhil Researcher role at Technological University Dublin focusing on the integration of Generative AI in SCADA systems. The project aims to improve operational efficiency and enhance human-machine interaction in industrial automation.

If you're passionate about AI technologies and looking to develop expertise in the interplay of industrial automation, this position provides a unique opportunity for professional growth while contributing to innovative research.

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