This position is intended to work at the intersection of both fields, catching up with the state-of-the-art on code generative models, and extending these towards parallelization and optimization tasksmanagement.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Key Duties
- Contribute to the review of the state-of-the-art for code generation, with a focus on parallelization and code optimization.
- Identify inhouse or external data sources. Lead the data gathering and pre-processing pipelines.
- Conduct the design and training of AI models
- Implement reliable, reproducible and automated training and evaluation methodologies. Integrate with HPC environments.
- Document and disseminate the work done
Data de tancament: Dimecres, 16 Octubre, 2024
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