Time Series Interpretability Researcher
Há 2 dias
Job Title: Time Series Interpretability Researcher
About the RoleWe are seeking a highly skilled researcher to join our team at Université Côte d'Azur in France. The successful candidate will be responsible for developing new-generation interpretability methods for algorithms taking time series as input.
About the ProjectThe ANR JCJC NIM-ML project aims to develop new-generation interpretability methods. The researcher recruited will be in charge of studying and developing interpretability methods for algorithms taking time series as input, focusing on proving their effectiveness in simple cases or identifying their limitations.
About the TeamYou will be part of a dynamic research team at Université Côte d'Azur, working alongside recognized researchers in mathematics and computer science. Our team is dedicated to advancing the field of artificial intelligence and machine learning.
About the JobThis is a postdoctoral position that offers an exciting opportunity to work on cutting-edge research in time series interpretability. You will have the chance to contribute to the development of new methodologies, extend recent work, and collaborate with international experts in the field.
About YouTo succeed in this role, you should have a strong background in mathematics, computer science, or a related field. You should also possess excellent writing skills, a perfect command of English, and in-depth knowledge of Python and the PyTorch framework.
Requirements- PhD in mathematics, computer science, or a related field
- Excellent writing skills
- Perfect command of English
- In-depth knowledge of Python and the PyTorch framework
This job is part of the NIM-ML project (ANR JCJC) and offers:
- A 1-year contract
- A desired start date of January 1, 2025
- A competitive salary of €45,000 per year
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