Postdoctoral Researcher
il y a 4 semaines
Job Context and Requirements
This postdoctoral research position is part of the ANR PRME SINNet project, focusing on developing socially-aware neural conversational models that adapt to the agent-user social relationship.
The successful candidate will investigate and analyze the phenomenon of miscommunication due to a lack of lexico-semantic alignment between speakers in a conversation.
Key responsibilities include:
- Investigating and characterizing the phenomenon of miscommunication in human interaction;
- Producing a semi-automatically annotated corpus with instances of this phenomenon;
- Proposing models that can identify word usages that are potential triggers or causes of miscommunication;
- Building or adapting systems that can avoid producing potential triggers and adapt to the speaker and conversational situation;
- Providing ways of evaluating the proposed methodology.
Research Environment
The successful postdoc candidate will be part of INRIA's ALMAnaCH team, specialized in NLP. They will participate in the team's activities, including seminars and reading groups.
Requirements
- PhD in Natural Language Processing, Computational Linguistics, Computer Science with a specialization in Machine Learning, or related fields;
- Knowledge of deep learning as well as more traditional machine learning techniques;
- Desired prior experience on conversational AI, word meaning representations, and corpus annotation;
- Strong programming skills (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 (statutory reduction in working hours) + possibility of exceptional leave;
- Possibility of teleworking;
- Flexible organization of working hours (after 12 months of employment);
- Professional equipment available (videoconferencing, loan of computer equipment, etc.);
- Social, cultural, and sports events and activities;
- Access to vocational training;
- Social security coverage.
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