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radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes
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cheminformatics platforms and molecular modeling software. Collaborate with synthetic chemists to experimentally validate predicted retrosynthetic routes and optimize laboratory workflows. Contribute to scholarly
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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a synthetic presentation of the
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materials. Experience with statistical analysis software (R, SPSS, or equivalent). Strong track record of peer-reviewed publications in relevant fields. Excellent problem-solving skills, creativity, and
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English are required; proficiency in French is a plus. Preferred Qualifications Experience in pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software
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tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills
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related to the project. Candidate Profile Strong proficiency in software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal
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, Data Science, or a related discipline. Proven experience in process modeling (steady-state and dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding
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execution of lab-scale grinding and classification trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze