Job Summary

We are seeking a Scientist to develop advanced modelling, simulation, and optimization solutions for complex operational systems, particularly in the aviation domain.

Responsibilities

• Develop mathematical, simulation, and optimization models.

• Build simulation frameworks and digital twins for operational analysis and performance evaluation.

• Conduct scenario studies, forecasting, and system performance assessments.

• Analyze operational data and validate modelling results.

• Collaborate with multidisciplinary teams and stakeholders to deliver practical solutions.

Requirements

• PhD in Operations Research, Engineering, Computer Science, Applied Mathematics, Data Science, Physics, or related quantitative disciplines.

Preferred Skills

• Experience in modelling, simulation, optimization, or operations research.

• Programming experience in Python, MATLAB, Java, C++, or similar languages.

• Experience with optimization solvers such as Gurobi, CPLEX, OR-Tools, or SCIP.

• Experience with simulation platforms such as AnyLogic, SimPy, Arena, MATLAB/Simulink, or RePast.

• Knowledge of aviation, aerospace, transportation, or operational systems is advantageous but not required.

Personal Attributes

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Ability to work independently and collaboratively in multidisciplinary teams.

• Curious, adaptable, and motivated to solve complex real-world problems.

Candidates from both aviation and non-aviation backgrounds are encouraged to apply. Strong quantitative and computational modelling skills are valued more than specific domain experience.