Scientific Leader: AI, Optimization & Sustainable Infra

VITO Research; Genk; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Hybrid work flexibility

Competitive salary package with extras

Training & development opportunities

Strong work-life balance

National/international research &行业伙伴网

Diversity and inclusive culture

Résumé du poste

VITO Genk seeks a scientific leader to define and develop the roadmaps at the intersection of AI, mathematical optimization and sustainable infrastructure. You will guide researchers and PhD candidates, fostering collaboration and high-quality research across multidisciplinary teams.

You will advance technologies such as optimization, ML, forecasting, digital twins and intelligent control, translating research into real-world energy, water and environmental solutions.

Qualifications

• Master's degree in CS, applied mathematics, engineering, physics, or related discipline.
• PhD in a relevant field is highly valued, though equivalent experience welcome.
• Strong expertise in optimization, AI, and data-driven modelling.
• Experience leading multidisciplinary research teams.
• Excellent English (written and spoken).

Responsabilités

• Shape the scientific direction of the domain at the intersection of AI, optimization, and sustainable infrastructure.
• Develop strategic research topics at the intersection of optimization, operations research, AI and data-driven modelling.
• Guide the development and application of advanced techniques such as optimization, ML, RL, forecasting, digital twins, data-driven control and decision-support systems.
• Translate scientific advances into solutions for real-world energy, water and environmental challenges.
• Lead and coach researchers and PhD candidates to grow professionally.
• Build collaborations with universities, research organizations, industry partners and public stakeholders.
• Publish in international peer-reviewed journals, conferences and forums.
• Monitor AI and optimization advances and translate into new research directions and opportunities.
• Report to the Program Manager and collaborate across multidisciplinary teams.

Connaissances

Mathematical optimization

Operations research

Machine learning

Artificial intelligence

Reinforcement learning

Forecasting

Digital twins

Data-driven modelling

Simulation

Decision-support systems

Formation

Master's degree in Computer Science

Master's degree in Applied Mathematics

Master's degree in Engineering

Master's degree in Physics

PhD (relevant field)

Outils

Programming

Scientific software development

Software-engineering practices

Description du poste

VITO Genk seeks a scientific leader to define and develop the roadmaps at the intersection of AI, mathematical optimization and sustainable infrastructure. You will guide researchers and PhD candidates, fostering collaboration and high-quality research across multidisciplinary teams.

You will advance technologies such as optimization, ML, forecasting, digital twins and intelligent control, translating research into real-world energy, water and environmental solutions.