Postdoctoral Researcher in AI Modelization for Edge AI Systems
hace 6 días
**Job Summary**
The Barcelona Supercomputing Center (BSC) is seeking a highly skilled Postdoctoral Researcher to join our team in the area of AI modelization for Edge AI systems. As a Postdoctoral Researcher, you will be responsible for devising mathematical models to address functional safety (FuSa) compliance in Edge AI systems.
**About the Role**
The successful candidate will collaborate intensively with multidisciplinary teams to integrate explainability, causality, and uncertainty modeling techniques into existing AI systems. You will identify FuSa-related metrics and develop mathematical approaches for diagnosis and monitoring based on those metrics. Additionally, you will lead a small team of junior engineers and students contributing to these tasks.
**Key Responsibilities**
- Develop mathematical models for Edge AI systems focusing on explainability, causality, uncertainty modeling, and probabilistic modeling in AI to enhance the reliability and transparency of AI solutions.
- Collaborate with multidisciplinary teams to integrate explainability, causality, and uncertainty modeling techniques into existing AI systems.
- Identify FuSa-related metrics and develop mathematical approaches for diagnosis and monitoring based on those metrics.
- Lead a small team of junior engineers and students contributing to these tasks.
**Requirements**
- Master's Degree in Computer Science, Mathematics, or similar. A PhD in the area (or being in the last year of the PhD).
- Strong knowledge on AI fundamentals; Familiarity with Deep Learning frameworks (e.g. PyTorch, Tensorflow, JAX); Deep knowledge on Causal Inference fundamentals; Experience in collaborative projects; Strong practical experience in programming languages (Python, C++, etc.).
- Previous experience in European projects in similar areas; Previous experience in Data Science projects, particularly for industry applications.
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