tendersglobal.net
Offer Description
Internationally recognized generalist engineering school of the IMT (Institut Mines-Télécom), leading French engineering school (Technological University), IMT Atlantique aims to support transitions, train responsible engineers, and use scientific excellence to serve teaching, research and innovation.
As part of the Autonomous Pack project led by packaging tracking start-up GoodFloow, in collaboration with researchers at IMT, INRIA and IRCICA, and which aims to develop reusable, traceable industrial packaging that can be shared between manufacturers, we are recruiting a deep learning Post-doctoral researcher in our Mathematical and Electrical Engineering (MEE) Department.
During preliminary work, neural network models have been developed to perform simple tasks using accelerometer data.
Under the functional responsibility of the project leaders, and in close collaboration with the teams involved in the project, you will identify additional relevant sensors to gather more complete information on the package environment, and implement this fusion in deep learning models.
In addition, you will participate in the valorization of the results of this work, by producing scientific publications for international journals and conferences.
Consult the detailed job description
or visit our website : https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-en-apprentissage-automatique-cdd-18-mois-de-droit-public-2
Requirements
Skills/Qualifications
You have skills in Python, neural networks and PyTorch.
You have a good knowledge of linear algebra and statistics.
You have good listening, analysis and synthesis skills, and are curious and open-minded.
You are adaptable, autonomous, rigorous and able to manage your priorities.
We are looking for people with a PhD in machine learning, deep learning, data science, computer science, obtained less than 3 years before the date of hire, with a strong interest in machine learning.
Additional Information
Benefits
WHY JOIN US :
THE PLUS :
Selection process
Deadline for application : 30/04/2024
Start of the contract: As soon as possible
Interviews : real-time
Work Location(s)
Where to apply
Contact
STATUS: EXPIRED
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