Industrial PhD Applied Research in Supply Chain Planning (O&G)

Responsibilities

• Mathematical Modelling & Optimisation
• Machine Learning / AI-enhanced optimisation methods
• Interoperability across industrial systems and platforms
• Advanced data visualisation and decision-support tools
• Essential requirements
• Master's Degree in Chemical Engineering, Industrial Engineering, Computational Engineering, Computer Science or Data Scien ce
• Advanced programming experience (e.g. Python, MATLAB, Julia or similar)

Requirements

• 2-3 years O&G industry or consulting experience
• Familiarity with refinery or process industry operations and planning
• Experience with optimisation tools (e.g., CPLEX, Gurobi)
• Experience with metaheuristic optimization
• Exposure to data engineering or system integration
• Interest in data visualisation and user-centric design
• Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.

Benefits

Additional Information

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers . For more information about our privacy policy and how to manage cookies, visit our Privacy Policy . Job Title: Industrial PhD Applied Research in Supply Chain Planning (O&G) Location: Spain, Valencia Region or Madrid Employment Type: Full Time The job We are seeking a highly motivated Industrial PhD candidate to conduct cutting-edge research at the intersection of machine learning and mathematical optimisation , applied to process industries . This role is embedded in a strong collaboration between industry and academia (the ICSO Meta R&D group at Universitat Politècnica de València) and focuses on developing next-generation approaches that enhance traditional optimisation methods (including exact methods and metaheuristics) through AI and data-driven techniques. The research will address real-world challenges in refinery and supply chain planning, contributing to both industrial deployment and high-impact academic publications .

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