Job Description This role sits at the intersection of **process engineering, applied mathematics, and machine learning**, with a strong focus on **real-world industrial impact**. You will work closely with engineers and plant operators to: - Improve operational efficiency - Reduce cost and environmental footprint - Increase understanding and robustness of our systems **Responsibilities** - Develop **predictive models** for water treatment processes (e.g., ACF, IEX, RO) - Data-driven models (regression, tree-based methods, etc.) - Physics-informed or hybrid models - Translate **operational data into actionable insights** - Build simple, robust models that can be used by **engineering and operations teams** - Analyze plant performance to identify **optimization opportunities** - Work with multidisciplinary teams (process, automation, software) - Support deployment of models into engineering tools or operational workflows - Participate in **on-site visits internationally** to understand systems and validate models **Qualifications** We are looking for a **hands-on problem solver** who can bridge theory and real-world systems. **Must-have** - MSc or PhD in: - Applied Mathematics, Data Science, Chemical Engineering, Environmental Engineering, or similar - 2+ years of experience - Strong understanding of **industrial water processes and field applications** - Good programming skills (Python preferred: pandas, NumPy, scikit-learn, etc.) - Solid understanding of: - Modelling / simulation (deterministic or statistical) - Data analysis and signal interpretation - Ability to work with **noisy real-world data** (not clean academic datasets) - Fluent in English **Strong plus** - Experience with: - Water treatment or process industries - Time-series analysis, control systems, or optimization - First-principles modeling (mass balance, transport phenomena) - Familiarity with: - Hybrid modeling (physics + ML) - Deployment of models into production tools - Ability to communicate effectively with **non-data specialists (operators, engineers)** **What makes this role unique** - Work on **real industrial systems**, not abstract datasets - Direct impact on **sustainability and water circularity** - Opportunity to shape the **digital transformation of water treatment plants** - Combination of: - Field understanding - Engineering - Data science