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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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, ensuring strategic alignment with objectives and expected outcomes, timely achievement of milestones, submission of deliverables, and efficient allocation of resources. Stakeholder engagement & co-creation
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online calibration framework that leverages deep learning to intelligently fuse data from multiple sensors (IMU, cameras, eye-trackers) By training models on a high-fidelity digital twin and exploring
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interdisciplinary research with latest methodologies. Dedicated supervision and mentorship for academic and professional growth throughout your doctoral journey. Opportunities to develop projects aligned with your
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infrastructure that supports world-class science in Switzerland. To achieve this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools
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) and FAIR data principles. Understanding of AI-based analytics pipelines and biomedical data workflows. Demonstrated capacity to build communities and align diverse stakeholders. Workplace Workplace We
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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework
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. Efficiency and adaptation: Lightweight, real-time models using quantization, compression, and adaptive execution. Hardware–algorithm co-design: Cross-layer optimization aligning ML algorithms with embedded
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, an aging society and the rapid development of technology. We also examine the characteristics of the most effective education systems in the world and how they align to labor market demand. Our research
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management and the abandonment of agricultural land. Another part of your job will deal with the biodiversity implications of re-wilding, based on data from multiple WILDCARD partners as