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other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine machine learning with traffic flow theory to improve
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
of CMatch in OAEI 2025. https://ceur-ws.org/Vol-4144/om2025-oaei-paper3.pdf [7] Sousa, G., Lima, R., & Trojahn, C. (2026). Survey on embedding methods applied to ontology matching. The expected work consists
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
transcoding techniques [6], while also integrating efficient post-sequencing data retrieval methods such as those proposed in [9]. Bibliography [1] David Reinsel-John Gantz-John Rydning, John Reinsel, and John
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states and inputs, such as path flows, boundary conditions, and other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine
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methods, fine-tune and align them for specific operational domains, and deploy them locally under full control of sensitive operational data. A central maritime use case will be condition monitoring and
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. Strong organizational and project management skills. Excellent written, verbal, and interpersonal communication skills. Demonstrated scientific writing ability. Basic proficiency with standard computer
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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, privacy-enhancing technologies, and trustworthy AI: stating requirements precisely, designing methods that meet them, and building prototypes fast enough to use. Applicants should hold, or expect to obtain
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Application Submission Method: link Employment Conditions: The involvement in the project will be based on a scholarship agreement for a period of 12 months. Estimated working hours: 40 hours per month. Planned
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contribute to AID by developing trustworthy AI-supported methods for long-term hydropower scheduling. Hydropower plays a central role in the Nordic power system, and deciding when to use or store water is