1 PhD position at Sorbonne University (Paris – France) on “Reinforcement learning models for search-oriented conversational systems”
The thesis with co-supervised by Laure Soulier (MLIA-LIP6) and Ludovic Denoyer (FAIR). We are recruiting for the full-time position of a PhD researcher in the fields of Machine Learning (ML)/Information Retrieval (IR) to join the ANR Project on “Search-oriented conversational systems” (SESAMS).
The candidate will be involved in the design of reinforcement learning models for supporting search-oriented conversational systems. The objective of the thesis is to reverse the information retrieval paradigm based on scoring models to design IR-driven reinforcement policy by taking into account users’ interactions with search engines and conversational systems.
The candidate will be host in Paris (France) in the LIP6 lab in the MLIA team (https://mlia.lip6.fr/).
The MLIA team at computer Science lab. at Sorbonne, hosts 10 permanent researchers and about 30 PhDs. The lab is equipped with computer facilities including GPU clusters (>70 GPU cards) required for machine learning and deep learning projects. The PhD students will have a workplace and access to all the facilities of the lab.
Sorbonne University has launched in 2019 a research center on AI (Sorbonne Center on AI). The PhD students
will have access to all the facilities provided by the center.
– Outstanding master‘s degree (or an equivalent university degree) in computer science or another related disciplines (as e.g. mathematics, computational linguistics, information sciences, computer engineering, etc.).
– The candidate should master statistical learning methods, information retrieval and/or natural language processing fields.
– We expect outstanding analytical competence, strong interest in interdisciplinary research (Machine learning/Information retrieval), experience in software engineering (strong programming skills in Python and ML/RL libraries), as well as superior organization and communication skills.
– Fluency in spoken and written English is required.
To apply, please email email@example.com and firstname.lastname@example.org with:
– a curriculum vitae, with contact of 2 or more referees
– a cover letter
– a research outcome (e.g. master thesis and/or published papers) of the candidate
– a transcript of grades
– letter of recommendation from previous supervisors or master degree referents
Applications will be processed on the flow and will close at the latest on November 30, 2020.