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Paid Internship
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Time Spent
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22Open Positions

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Internship: Process Engineering & Modelling Intern, Italy, 2026

GSK
Found 1 month ago
Location
Siena, Italy
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Physics
  • Mathematics
  • Chemical Engineering
  • Mechanical Engineering
  • data‑driven or statistical modelling approaches
  • ODE/PDE numerical solving
  • CFD tools
  • Design of Experiments (DoE)
  • transport phenomena
  • thermodynamics
  • Python
  • MATLAB
  • modelling
  • data analysis
  • laboratory or experimental skills
  • data generation capability

Soft Skills

  • Problem-solving mindset
  • attention to scientific rigor
  • Ability to work effectively in multidisciplinary teams
  • Good communication skills
  • willingness to learn
  • Proactive attitude
  • growing autonomy

Job Description

Support the Process Engineering team within Global Drug Product (Technical R&D) Evaluate state‑of‑the‑art modelling approaches for drug product unit operations Develop mechanistic models for mixing, filtration, pumping, lyophilization, and freeze‑thaw processes Generate and analyze experimental data to support model calibration and validation Contribute to scale‑up and scale‑down strategy development Apply the Model by First Intent (MbFI) approach to reduce experimental burden Support experimental design and execution for process characterization

Requirements

  • Master’s degree (ongoing or completed) in Physics, Mathematics, Chemical Engineering, Mechanical Engineering, or related Engineering discipline
  • Knowledge of data‑driven or statistical modelling approaches
  • Experience with ODE/PDE numerical solving or CFD tools
  • Familiarity with Design of Experiments (DoE)
  • Strong interest in pharmaceutical process engineering and modelling
  • Solid understanding of transport phenomena and thermodynamics
  • Programming skills in Python and/or MATLAB for modelling and data analysis
  • Basic laboratory or experimental skills and data generation capability
  • Problem-solving mindset with attention to scientific rigor
  • Ability to work effectively in multidisciplinary teams
  • Good communication skills and willingness to learn
  • Proactive attitude with growing autonomy over time

Related Field

  • Process Engineering

Related Subfield

  • Process Engineering

Languages

  • Italian
  • English

Nice to Haves

  • Knowledge of data‑driven or statistical modelling approaches
  • Experience with ODE/PDE numerical solving or CFD tools
  • Familiarity with Design of Experiments (DoE)
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