Clean, preprocess, and analyze manufacturing process data from existing datasets.
Apply exploratory data analysis and visualization techniques to uncover patterns and generate actionable insights.
Modeling and process simulation tasks:
Support projects on distillation and solvent recovery process modeling.
Apply novel process models to address manufacturing and process development needs, refining model components as needed to accurately represent the processes under study.
Perform simulation and optimization studies to improve process performance.
Present results and recommendations to scientific and engineering teams.
Requisiti principali
Enrolled in or recently graduated from a Master's program in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences, Engineering field or other related fields required.
Experience with python-based data analytics.
Experience with modeling and programming (e.g., Python, MATLAB, R, gPROMS, Aspen Plus, or other relevant software)
