Postdoctoral Researcher
il y a 1 semaine
Job Context and Requirements
This postdoctoral research position is part of the ANR PRME SINNet project, which aims to develop socially-aware neural conversational models that can adapt to the agent-user social relationship. The successful candidate will focus on the characterization and modeling of alignment at the word meaning level.
Research Objectives
- Investigate and analyze the phenomenon of miscommunication due to a lack of lexico-semantic alignment between speakers in a conversation.
- Produce a semi-automatically annotated corpus with instances of this phenomenon.
- Propose models that can identify word usages that are potential triggers or causes of miscommunication.
- Build or adapt systems that can avoid producing potential triggers and adapt to the speaker and conversational situation.
- Provide ways of evaluating the proposed methodology.
Key Responsibilities
- Conduct research on conversational AI, word meaning representations, and corpus annotation.
- Collaborate with the ALMAnaCH team on seminars and reading groups.
- Participate in the development of socially-aware neural conversational models.
Requirements
- PhD in Natural Language Processing, Computational Linguistics, Computer Science, or related fields.
- Knowledge of deep learning and traditional machine learning techniques.
- Desired prior experience in conversational AI, word meaning representations, and corpus annotation.
- Strong programming skills in Python.
- Fluency in English.
Benefits
- Subsidized meals.
- Partial reimbursement of public transport costs.
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave.
- Possibility of teleworking.
- Flexible organization of working hours.
- Professional equipment available.
- Access to vocational training.
- Social security coverage.
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