12 software-engineering-model-driven-engineering-phd-position PhD positions in Netherlands
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driven by curiosity and has: A Master’s degree in Mechanical Engineering, Aerospace Engineering or equivalent. Good team-working abilities and a positive can-do mentality. Strong reporting and
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software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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% of your total appointment, averaged over the course of your PhD. Job requirements Essential An MSc degree in systems & control, electrical engineering, mechanical engineering, applied mathematics, physics
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in all these approaches. This PhD position aims at developing methods for learning and control in complex large-scale systems. This will be carried out as part of the GreenControl project, whose
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transport, and device-level performance into a continuously learning model of solar-driven energy conversion devices. The position covers the full life cycle of the Digital Twin, from architecture design and
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to organizational values. Your project is part of the Model-Driven Decisions Lab, a Netherlands Police - TU Delft initiative, where you will join an interdisciplinary community of four fellow PhD students who have
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project is part of the Model-Driven Decisions Lab, a Netherlands Police - TU Delft initiative, where you will join an interdisciplinary community of four fellow PhD students who have already been hired
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23 Jun 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Computer science » Informatics Computer science » Modelling
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data. The PhD student will develop methods to quantify the degree to which a trained model reproduces specific training sequences, investigate how properties specific to plant genomes shape memorization