Machine Learning Researcher

il y a 4 heures


Laeken, Belgique Montash Temps plein

Job Title: Machine Learning Researcher Location: Brussels, Belgium (Hybrid) Language: English (French or Dutch a plus) Role Overview We are supporting a leading semiconductor organisation based in Brussels that is expanding its advanced research capabilities. They are seeking a Machine Learning Researcher to work at the intersection of machine learning, data science, and semiconductor technology. This role is research-driven, with a strong focus on developing novel ML models and algorithms that can be applied to complex, real-world engineering and manufacturing challenges. You will collaborate closely with research scientists, engineers, and product teams to translate theoretical work into practical impact. Key Responsibilities Conduct applied and fundamental research in machine learning and related areas Design, develop, and evaluate ML models for complex datasets generated from semiconductor processes and systems Explore topics such as deep learning, probabilistic models, optimisation, and time-series or signal-based data Translate research outcomes into prototypes, proofs of concept, or production-ready solutions Publish findings internally and externally (papers, technical reports, patents where applicable) Collaborate with cross-functional teams including hardware engineers, data engineers, and software developers Stay current with state-of-the-art research and emerging trends in machine learning and AI Required Skills and Experience Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Mathematics, Physics, Electrical Engineering, or a related field Strong theoretical understanding of machine learning algorithms and statistical methods Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX Experience working with large, complex, or noisy datasets Solid foundations in mathematics, including linear algebra, probability, and optimisation Ability to clearly communicate complex ideas to both technical and non-technical stakeholders Nice to Have Experience applying ML in industrial, scientific, or engineering environments Background or exposure to semiconductor manufacturing, electronics, or hardware systems Publications in peer-reviewed conferences or journals Experience with high-performance computing or cloud-based ML workflows


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