PhD Position in Workflow Provenance for Explainable and Transparent Artificial Intelligence
il y a 3 semaines
Artificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address these challenges, the FAIR principles have emerged as a valuable framework for responsible and trustworthy AI applications.
Research ObjectivesThis project aims to advance the research on AI transparency and explainability, addressing the growing concerns about ethical and practical implications of AI applications. It will investigate mechanisms to formalize, capture, store, and manage metadata in AI-powered workflows, exploring the relationship between model provenance, metadata, and model behavior.
MethodologyThe research methodology centers on analyzing the AI model life-cycle, enabling technologies, and infrastructures, building upon previous work and active research of the members in the supervisory team in the USA and France. For Aim A, the research will focus on defining ontologies and taxonomies for AI workflow provenance data from multiple angles: system, platform, model, and application. Aim B will establish the technical foundation to capture, store, manage, and query provenance metadata at runtime during the execution of AI workflows. Aim C will develop a methodology to elucidate the connections between the formalized provenance metadata and model behavior, assessing how these elements influence model performance and interpretability.
Required Skills- Excellent academic record in computer science courses
- Knowledge on distributed systems and data management systems
- Strong programming skills (Python, C/C++)
- Ability and motivation to conduct high-quality research, including publishing the results in relevant venues
- Very good communication skills in oral and written English
- Open-mindedness, strong integration skills, and team spirit
- Subsidized meals
- Partial reimbursement of public transport costs
- Possibility of teleworking (90 days per year) and flexible organization of working hours
- Partial payment of insurance costs
Monthly gross salary amounting to 2100 euros for the first and second years and 2190 euros for the third year
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Rennes, Bretagne, France INRIA Temps pleinJob DescriptionINRIA is seeking a highly motivated PhD researcher to join our team and contribute to the development of workflow provenance for explainable and transparent artificial intelligence.Context and OverviewArtificial intelligence (AI) is driving scientific discovery and economic growth in various application domains, but its pervasive presence...
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Rennes, Bretagne, France INRIA Temps pleinJob DescriptionINRIA is seeking a highly motivated PhD researcher to join our team and contribute to the advancement of explainable and transparent artificial intelligence (AI) through workflow provenance research.Context and OverviewArtificial intelligence is driving scientific discovery and economic growth in various application domains, but its pervasive...
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Rennes, Bretagne, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated PhD researcher to join our team at INRIA and contribute to the development of workflow provenance and explainable artificial intelligence. The successful candidate will work under the supervision of a team of experienced researchers and will have the opportunity to collaborate with international...
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Rennes, Bretagne, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated and talented PhD student to join our team at INRIA to work on a project focused on workflow provenance for explainable and transparent artificial intelligence. The successful candidate will have the opportunity to contribute to the development of novel methods and tools for capturing, analyzing, and...
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Rennes, Bretagne, France INRIA Temps pleinResearch Position in Workflow Provenance and Explainable AIThe KerData team at Inria is seeking a highly motivated PhD researcher to work on a project focused on workflow provenance and explainable AI. The successful candidate will contribute to advancing the research on AI transparency and explainability, addressing the growing concerns about ethical and...
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Rennes, Bretagne, France INRIA Temps pleinContext and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting from routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors are expressing increasing concern about the potential ethical and practical implications of the...
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Rennes, Bretagne, France INRIA Temps pleinContext and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address...
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Rennes, Bretagne, France INRIA Temps pleinResearch Position in AI Transparency and ExplainabilityThe KerData team at INRIA is seeking a highly motivated PhD candidate to contribute to the advancement of AI transparency and explainability. The successful candidate will work on the development of mechanisms to formalize, capture, store, and manage metadata in AI-powered workflows.Research...
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Rennes, Bretagne, France INRIA Temps pleinContext and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address...
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