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Intern
NL03 Shell GSI BV
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted 3 days ago
About this role
, Netherlands Worker Type: Interns (Fixed Term) (Trainee) Posting Start Date: November 9, 2026 Job Description: DESCRIPTION OF INTERN ASSIGNMENT Intern assignment *Describe the responsibilities and activities related to the Assignment. If relevant, relate these activities to the requirements for completion of the Internship as set by the Institute of Education. Include details of department where the Internship will be carried out.* <INSERT DESCRIPTION RESPONSIBILITIES/ACTIVITIES ASSIGNMENT> *6-months MSC project internship based at ETCA* Title : Towards the Next Generation of Hybrid Second Order Group Contribution Frameworks for the Prediction of the Melting Point and Viscosity of Heavy and Branched Alkanes Goals and objectives Accurate prediction of melting point and viscosity remains challenging for heavy and highly branched alkanes due to the strong influence of molecular architecture, conformational flexibility, and intermolecular interactions. To address this need, a next-generation of Group Contribution framework for predicting the melting point and viscosity of heavy and branched alkanes may be formulated by augmenting classical first- and second-order structural groups with DFT-derived molecular descriptors and machine-learning corrections. The GC component captures the contribution of molecular fragments and branching patterns, while DFT quantifies electronic and conformational features governing intermolecular forces, crystal lattice stability, and liquid flow behavior. Machine learning algorithms are then used to learn higher-order interactions between structural groups and quantum-mechanical descriptors, providing correction terms to the classical GC predictions. Such a DFT-ML-GC hybrid methodology retains the simplicity, interpretability, transferability and extrapolation capability of second order group contribution approaches while significantly enhancing prediction accuracy for complex hydrocarbon systems beyond the range of available experimental measurements. Deliverable: MSc thesis and final presentation - DISCLAIMER: Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer. According to the United Nations, the global population could increase to more than 10 billion people. A key role for society – and for Shell – is to find ways to meet the growing demand for energy, with less carbon emissions. We need people who dare to think differently – to take part in developing tomorrow’s energy solutions today.