Population Balance Modelling for LLE - Python Internship

IFP Energies nouvelles - Lyon; Solaize; On-site; EUR 12,000 - 14,000; Part time

Benefits offered by this job

Paid internship 1150€/month

Job summary

IFP Energies nouvelles - Lyon invites applications for a 6-month internship focused on population balance modeling of liquid-liquid extraction. You will study coalescence and breakup kernels, implement a 0D/1D PBM in Python, and validate results against literature or IFPEN data.

The role requires a chemical engineering background, modelling acumen, and proficiency in Python for scientific computing. Workplace is Lyon, with a paid internship of 1150€/month gross.

Qualifications

• Chemical engineering background and strong modelling skills.
• Experience in scientific programming and Python is required.
• 1) Internship duration is 6 months. 2) Paid internship details provided.

Responsibilities

• Literature review on coalescence and breakup models for PBM.
• Develop a 0D/1D population balance model in Python.
• Validate the model against published or IFPEN experiments.

Skills

Chemical engineering

Modelling

Python

Scientific programming

Education

Chemical engineering degree

Tools

Python

Job description

IFP Energies nouvelles - Lyon invites applications for a 6-month internship focused on population balance modeling of liquid-liquid extraction. You will study coalescence and breakup kernels, implement a 0D/1D PBM in Python, and validate results against literature or IFPEN data.

The role requires a chemical engineering background, modelling acumen, and proficiency in Python for scientific computing. Workplace is Lyon, with a paid internship of 1150€/month gross.