How do I apply for the Internship: Process Engineering & Modelling Intern position at GSK Stockmann and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Internship: Process Engineering & Modelling Intern role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Internship: Process Engineering & Modelling Intern at GSK Stockmann?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does GSK Stockmann provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Internship: Process Engineering & Modelling Intern

GSK Stockmann

Found 1 month ago

Location

Siena, Italy

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

Python
MATLAB
ODE/PDE numerical solving
CFD tools
Design of Experiments (DoE)
transport phenomena
thermodynamics

Soft Skills

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

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)
Written and spoken fluency in Italian and English
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

Process Engineering

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)
Basic laboratory or experimental skills and data generation capability
growing autonomy over time

Apply Now

24Open Positions

Open Positions

24Open Positions

Internship: Process Engineering & Modelling Intern

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves