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Matteo LissandriniMatteo Lissandrini

1 year ago

AI, Data Management, NLP, Machine Learning IBM Research lab in Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Funded by MSCActions

Deadline

Expired

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Country

Switzerland

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Keywords

Computer Science
Data Science
Machine Learning
Electrical Engineering
Information Technology
Artificial Intelligence
Natural Language Processing
Data Management
Basin Analysis
Reinforcement Learning
Domain Adaptation
Basin Modeling
Business Intelligence
Conversational Ai
Armada
Mscactions
Efficient Rag Approaches

About this position

We will be hiring two PhD students at IBM Research lab in Zürich for hashtag#ARMADA project, the areas of interest will be control in llms with reward modeling and reinforcement learning, efficient RAG approaches and pairing llms with graphs for domain adaptation. Please share and contact me if you are interested.…more How to make hashtag#AI models more reliable? hashtag#ARMADA - reliAble conveRsational doMAin-specific Data exploration and Analysis - is a new project on AI funded by hashtag#MSCActions which will train 15 PhD Candidates.I will be coordinating it with an amazing team involving:Sihem Amer-Yahia Jasmina Bogojeska Roberta Facchinetti Valeria Franceschi Aris Gionis Katja Hose Georgia (Yuli) Koutrika Roger Kouyos Silviu Maniu Katya (Katsiaryna) Mirylenka Davide Mottin Themis Palpanas Mattia Rigotti Yannis VelegrakisWe will implement a training network and program to provide the unique set of expertises, educational activities, and resources at the intersection of hashtag#DataManagement hashtag#NLP and hashtag#MachineLearning to train researchers in the theoretical and empirical study of reliable Conversational AI to support novel business intelligence applications.…more

Funding details

Funded by MSCActions

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