Science & Competence Responsible – Algorithms, Models and Optimization
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As a leading European research center, VITO brings together more than 1,300 employees to translate scientific insights into technological innovations, AI-driven solutions, and policy advice with real societal impact. Our mission is clear: to create a sustainable and promising future for our world. Join us in making this vision a reality
About the team
The Algorithms, Models & Optimization (AMO) team within the Water & Energy Transition (WET)-unit develops advanced AI, data science and optimization technologies to support the transition towards sustainable energy, water and environmental systems.
We combine scientific expertise with real-world applications in areas such as smart energy grids, building energy management, water systems, electrification and circular economy. Our work spans mathematical optimization, machine learning, forecasting, digital twins, intelligent control and decision-support systems.
By combining data-driven methods, advanced modelling and optimization, we help improve the performance, resilience and sustainability of complex physical infrastructures and support better decision-making under uncertainty.
As Science & Competence Responsible, you will play a key role in shaping the scientific direction of the AMO domain. You will combine deep technical expertise with scientific vision, people leadership and a strong drive to create real-world impact.
Your role
Together with the Program Manager, you will define and develop the scientific and technological roadmap of the domain. You will identify promising research directions, strengthen key competences within the team and ensure a high level of scientific and technological excellence.
You will act as a scientific leader and coach for researchers, engineers and PhD candidates, helping them grow professionally while creating an environment that encourages collaboration, curiosity and high-quality research.
Your responsibilities include:
- Shape the scientific direction of the domain. You will identify and develop strategic research topics at the intersection of mathematical optimization, operations research, artificial intelligence and data-driven modelling.
- Advance and connect technologies. You will guide the development and application of advanced techniques such as mathematical and combinatorial optimization, machine learning, reinforcement learning, forecasting, digital twins, data-driven control, simulation and intelligent decision-support systems.
- Drive innovation in complex systems. Together with the team, you will translate scientific advances into solutions for real-world challenges in energy, water and environmental systems.
- Strengthen interoperability and knowledge integration. Where relevant, you will explore how semantic technologies, ontologies and interoperability standards can improve data sharing, knowledge representation, digital twins and system integration across AI-driven and cyber-physical systems.
- Ensure scientific excellence. You will support high-quality scientific work and contribute to publications in international peer-reviewed journals, conferences and scientific forums together with researchers and PhD candidates.
- Stay ahead of emerging developments. You will monitor advances in AI, optimization, energy system modelling and related digital technologies and translate relevant developments into new research directions and innovation opportunities.
- Create new research opportunities. You will identify promising research and innovation opportunities, contribute to national and international research proposals and help secure funding for future activities.
- Build strategic collaborations. You will strengthen relationships with universities, research organizations, industry partners and public stakeholders and help expand the scientific visibility and impact of the domain.
- Connect disciplines and people. You will work closely with researchers, engineers, domain experts and PhD candidates across multidisciplinary teams and report to the Program Manager.
What makes this role unique
- This role gives you the opportunity to shape a scientific domain at the intersection of AI, optimization and sustainable infrastructure.
- You will have the freedom to influence the research agenda, develop new competences and technologies, coach talented researchers and build collaborations around challenging real-world problems.
- You enjoy leading through technical expertise, scientific vision and coaching and are motivated by turning advanced research into solutions with tangible societal and industrial impact.
Job requirements
You are a scientifically strong and original thinker who enjoys combining technical depth with leadership, collaboration and real-world impact.
- You hold a Master's degree in Compu