Chemical Engineer with PhD (AI Evaluation)

• Lead and guide a team of 5 to 10 technical trainers to ensure high quality and timely task delivery.
• Review engineering tasks thoroughly, including problem statements, reaction kinetics, thermodynamic data, process flowsheets, computational environments, reference solutions, and automated tests.
• Validate tasks covering reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering.
• Ensure tasks represent authentic chemical engineering workflows requiring detailed multi-step technical reasoning.
• Check mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence.
• Validate computational models and simulation results for reproducibility, including stiff ODE/DAE solvers, tolerances, and initial conditions.
• Review automated graders to confirm they assess meaningful engineering outputs such as conversion, yield, purity, energy consumption, and process constraints.
• Identify and address technical inaccuracies, unrealistic assumptions, incorrect tolerances, and potential shortcuts in engineering calculations.
• Provide clear technical feedback, track revisions, and ensure all issues are resolved before task approval.
• Onboard trainers, assign tasks, monitor quality and throughput, resolve technical issues, and maintain documentation and best practices.

• PhD degree in Chemical Engineering is mandatory.
• Postdoctoral experience or equivalent advanced technical expertise in Chemical Engineering.
• Programming experience in languages such as Python, Julia, C/C++, or MATLAB/Octave.
• Familiarity with Linux and command-line interfaces.
• Practical expertise in at least one key area like process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization.
• Deep knowledge of chemical engineering principles, numerical methods, computational modeling, and technical validation.
• Experience reviewing complex technical work including chemical process simulations and computational models.
• Ability to assess mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability.
• Strong analytical skills to detect technical errors, edge cases, and flawed engineering assumptions.
• Experience in mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills for detailed technical feedback and documentation.

Apply through the employer's official contact. The employer has not published a closing date.