Student Intern – Multi-scale Computational Chemistry

Strategic Student Program Netherlands 2026

Siemens Digital Industries Software – #TransformTheEveryday

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Location: The Hague, the Netherlands
Working model: On-location / Hybrid
Way of working: Working by goals
Internship duration: 4–6 months
Start date: 1 April 2026

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many industries. From advanced materials and polymers to complex engineered systems, our software enables customers to innovate faster and more sustainably. We offer interns a role with real responsibility, autonomy, and the opportunity to contribute meaningfully within a collaborative, international team.

Start your career with the Strategic Student Program (SSP)

The Strategic Student Program is Siemens Software’s global internship program, managed by University Relations. As an SSP intern, you will gain meaningful, real-world work experience while developing professional and technical skills. Interns benefit from structured learning opportunities, performance evaluations, professional development workshops, access to the Siemens Learning Hub, and participation in a global student community and program events.

Team and project context

Coarse-grained molecular simulations are powerful tools that enable the study of phenomena occurring at spatial and temporal scales that are typically inaccessible to classical atomistic molecular dynamics simulations. These include stability, phase transitions, and aggregation processes in large molecules such as biomolecules and polymers.

Within Siemens Software, Simcenter Culgi employs a sophisticated bottom-up parameterization approach for coarse-grained models. Intermolecular parameters are derived from thermodynamic models based on quantum mechanical calculations, while intramolecular bond and angle parameters are approximated using harmonic potentials. Although this methodology is robust and accurate, its efficiency is currently limited by the time required to determine intramolecular parameters through simulations.

Project description

This internship focuses on accelerating and streamlining the parameterization workflow for coarse-grained molecular models by leveraging artificial intelligence and machine learning techniques.

The primary objective of the project is to develop a Graph Neural Network capable of accurately predicting intramolecular bonded parameters. The extensive molecular database available within Simcenter Culgi will be used as a comprehensive training and validation dataset for this predictive model.

By introducing this data-driven approach, the project aims to significantly reduce parameterization time while maintaining the accuracy and predictive power of the existing methodology. This internship represents an initial exploration of artificial intelligence and machine learning within the team and contributes to building long-term expertise in this area.

What we are looking for

We are looking for master’s students in Computational Chemistry, Chemical Engineering, Physics, Materials Science, Applied Mathematics, or a closely related field.

Key qualifications

• Strong background in computational chemistry and molecular simulations

• Solid understanding of machine learning methods; experience with neural networks or graph-based models is preferred

• Interest in applying artificial intelligence techniques to scientific and engineering challenges

• Programming experience in Python

• Familiarity with coarse-grained modeling, molecular dynamics, or quantum chemistry is an advantage

• Strong analytical mindset, curiosity, and problem-solving skills

• Good communication skills and ability to work collaboratively in a multidisciplinary team

• Proficiency in English

Strategic Student Program Netherlands – conditions and eligibility

The Siemens Strategic Student Program in the Netherlands will run for 4–6 months, starting on 1 April [YEAR]. Depending on university requirements and project alignment, the internship may be extended or combined with a bachelor’s or master’s thesis.

Internships at Siemens Digital Industries Software are paid, and interns receive an internship contribution.

Eligibility

• Interns must be enrolled at a university in the Netherlands for the full duration of the internship

• Both Dutch and international students enrolled at Dutch universities are eligible

• Both curricular and extracurricular internships are accepted, subject to university regulations

• International students must hold a valid visa and/or work permit for the Netherlands; Siemens does not sponsor or facilitate visa or permit processes

Why work at Siemens Software?

We are an equal opportunity employer and value diversity at Siemens Software. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability.

Transform the everyday and shape the future of your career with us

At Siemens Digital Industries Software, students work on real projects that matter. You will collaborate with experts across disciplines, contribute to innovative technology, and build a strong professional foundation while making a tangible impact for our customers.

#LI-PLM #LI-GV1 #LI-Hybrid  #ssp