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Field
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, multidimensional signal processing and audiovisual computing. We are a core member of IMEC, the world-leading research and innovation center in nanoelectronics and digital technologies. Our team is currently a
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, wearable sensor data, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and
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. Qualifications and Expectations Applicants must hold (or be close to completing) a Master’s degree in biomedical engineering, mechanical engineering, robotics, computer vision, applied mathematics, or a related
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in combining disciplinary knowledge with skills in biomedical data science. These can be either computer scientists or life scientists who already have a training in bioinformatics and are interested
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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programming (Python, C++, etc.) and machine learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs
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a Master’s degree in cognitive neuroscience or an adjacent field (psychology, biology, biomedical sciences, computer sciences, or any other relevant MSc). You have a strong interest in fundamental
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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April 2026 This position offers the opportunity to work in advanced manufacturing and bioengineering, focusing on process optimization and innovation in scaffold fabrication for biomedical applications
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biofabrication, contributing to advances in bone tissue engineering and developing expertise in additive manufacturing technologies and biomedical applications. Application Procedure To participate, you must