Discipline: Machine Learning
Line Manager: Modesar SHAKOOR,
[email protected]
Workplace: Douai, Lahure
Type of contract and duration: Postdoctoral fellowship, 18 months
CONTEXT:
IMT Nord Europe is a public institution, part of the Institut Mines-Télécom (IMT) and is under the supervision of the Ministry of Economy, Finance and Industrial and Digital Sovereignty. IMT Nord Europe has three main objectives: to provide students with ethically responsible engineering practice enabling them to solve 21st century issues, conduct R&D activities leading to outstanding innovations and support territorial development through innovation and entrepreneurship. Strategically located at the heart of Europe, an hour from Paris, 30 minutes from Brussels and 1.5 hours from London, IMT Nord Europe aims to become a main actor of ongoing industrial, digital and environmental transitions. The institution achieves this by blending education and research on engineering and digital technologies.
Based on two main campuses in Douai and Lille dedicated to research and education, IMT Nord Europe offers nearly 20000 sqm of research facilities in the following areas:
- Digital science,
- Processes for industry and services,
- Energy and Environment,
- Materials and Processes.
For more information, visit the School’s website: www.imt-nord-europe.fr.
The position is vacant within the Centre for Materials & Processes and the Centre for Digital Systems of IMT Nord Europe.
BRIEF:
Flows in porous media are of great interest for various applications like reservoir engineering or composites manufacturing. The ANR JCJC MISSA project, initiated in 2023, targets the development of state-of-the-art numerical models for flows in porous media. One of the primary research areas is the design of neural networks to replace conventional computing paradigms. Recently, technologies such as autoencoders and recurrent neural networks have been considered. For these neural networks to be of interest for the applications considered, two issues must be addressed:
- Improve the generalization capabilities by estimating the prediction error and carefully designing the training dataset, for instance using active learning or self-supervised learning,
- Ensuring the convexity of the neural network prediction with respect to the input data.
In this project involving two research centers of IMT Nord Europe and a research group from the National University of Singapore, the postdoctoral fellow will focus on accelerating calculations using deep learning. The postdoctoral fellow will develop a deep learning model that will be integrated into a multiscale finite element code developed by other partners in the MISSA project. Challenging applications to real manufacturing processes will be considered.
The postdoctoral research will be supervised by Prof. Shakoor, Itier, and Mennesson from IMT Nord Europe. Participation in teaching activities, up to a limit of 64 hours per academic year, is possible for postdocs aiming to pursue an academic career. This position offers:
- A high-level and exciting international research environment in a renowned institution,
- Being part of an international project team with worldwide contacts,
- A thorough scientific education and training on deep learning and its application to fluid mechanics,
- The opportunity to participate in local and international workshops and conferences.
REFERENCES:
(The list of references...)
Requirements
REQUIRED PROFILE:
- A PhD degree in machine learning / data science,
- Strong programming skills, preferably in Python,
- Some skills in computational fluid mechanics would be an advantage, but are not a requirement,
- Has distinguished themselves with publications in peer-reviewed international journals and/or presentations at major international conferences,
- Strong knowledge of either French or English.
CONDITIONS:
The job is to be filled between January and July 2024 for a period of 18 months (temporary contract).
INFORMATION AND APPLICATION METHODS:
For information on the missions, please contact Modesar SHAKOOR, Vincent ITIER and José MENNESSON, Associate Professors, at the respective email addresses and phone numbers provided.
For any administrative information, please contact the Human Resources Department:
[email protected]
This job can be offered to civil servants on a mobility basis, or on a contractual basis under public law. Additionally, the position can be modified for a person with disabilities.
DEADLINE FOR SUBMISSIONS: 01/12/2023