Tenure track Assistant Professor Position in Robust and efficient Deep Learning with applications to Large Language Models
il y a 19 heures
Find all information and the application process here:
Research Area
Artificial Intelligence, Deep Learning and Large Language Models
Position
Monge positions are full-time tenure track faculty positions, in the form of a three-years contract renewable once. The Monge faculty member is expected to defend his habilitation a diriger les recherches before coming up for tenure. After 6 years, the holder shall be promoted as Professor, provided that the evaluation of his or her research, teaching, and related activities is positive.
Context
École polytechnique, in partnership with industrial and institutional partners, is implementing an ambitious recruitment plan to significantly strengthen its research and teaching capacities in Artificial Intelligence.
This initiative responds to a strategic ambition: to affirm and further strengthen the central role of École polytechnique, and more broadly of the Institut Polytechnique de Paris, as a key center of excellence in Artificial Intelligence research, education, and innovation. The successful candidate will benefit from an exceptional, dynamic environment conducive to the development of large-scale, structuring projects, involving local, national, and international research partners.
This position is part of the two chairs Trustworthy and Responsible AI and AI and Optimization for Mobility. Selected candidates will play a key role within the ORAILIX team at LIX, actively contributing to its research and academic activities, particularly within the two above chairs.
This recruitment target outstanding profiles in Artificial Intelligence specializing with strong expertise in one or more of the following areas:
- Deep Learning and large language models (LLMs) and their applications.
- Efficiency and optimisation of LLMs.
- Interpretability and white-box analysis of deep learning models.
- Security and reliability of LLM computations, including adversarial attacks.
- Training data memorisation: Privacy attacks and defence.
- Uncertainty quantification and hallucination mitigation.
- Multi-agents and their security.
- AI for security
Selected candidates will be recruited under the two chairs Trustworthy and Responsible AI and AI and Optimization for Mobility with the following responsibilities:
• Conduct research projects within the two chairs Trustworthy and Responsible AI and AI and Optimization for Mobility, and contribute to their scientific and educational activities
• Co-supervise PhD students.
• Publish in high-impact journals and participate in top-tier conferences. PROVOST'S OFFICE ÉCOLE POLYTECHNIQUE – 91128 PALAISEAU CEDEX
• Contribute to and benefit from collaboration opportunities and funding through industrial and academic partnerships within the ORAILIX team.
• Contribute to the teaching and research activities of the new Master's program in Trustworthy and Responsible Artificial Intelligence (TRAI) as part of the IA Cluster project at École polytechnique.
• Developing and implementing project-based pedagogical approaches that strengthen the link between teaching and research is particularly valued for this position.
• Teach computer science courses at various levels, including the Bachelor's cycle, the Engineering Program (cycle ingnieur polytechnicien), and Master's programs.
More broadly, a contribution to major societal and environmental challenges, in line with the institution's commitments, will be expected.
Apply here (ONLY):
Note that all applications not following the above description won't be considered.
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