Post doctoral in Computer Science - 12 months contract

ABOUT TELECOM SUDPARIS

Telecom SudParis is a public graduate school for engineering, which has been recognized on the highest level in the domain of digital technology. The quality of its courses is founded on the scientific excellence of its faculty and on teaching techniques that emphasize project management, innovation and intercultural understanding. Telecom SudParis is part of the Institut Mines-Telecom, the number one group of engineering schools in France, under the supervision of the Minister for Industry. Telecom SudParis with Ecole Polytechnique, ENSTA Paris, ENSAE Paris and Telecom Paris are co-founders of the Institut Polytechnique de Paris, an institute of Science and Technology with an international vocation.

Its assets include: a personalized course, varied opportunities, the no.3 incubator in France, an ICT research center, an international campus shared with Institut Mines-Telecom Business School and over 60 student societies and clubs.

MISSION

As Internet of Things (IoT) and IoT-Edge-Cloud continuum technologies advance, physical environments are becoming increasingly equipped with sensors, fuelling the development of smart space ecosystems. Massive quantities of data produced by IoT devices revolutionize the way such ecosystems operate via the exploitation of AI models/services. This has led to the emergence of the so-called Artificial Intelligence of Things (AIoT) systems. In general, designing techniques to promote robustness, efficiency and continual operation of AIoT systems requires realistic and trustworthy data at scale.

The research scope of PANDORA aims at providing trustworthy AI models for continual, energy- efficient and robust operation of AIoT systems by relying on the emerging concepts of AI-as-a Service (AIaaS) and Computing-as-a-Service (CaaS). We are looking to hire one Postdoctoral Researcher for an initial duration of one year, with a possibility for extension. It is accessible to holders of Ph.D. degrees in computer science or a closely related field, with relevant experience and publication record.

ACTIVITIES

The selected candidate will conduct research for efficient and continual AioT system operation.

In particular:

1. ML-enabled and scalable synthetic data generation
2. Federated Representational Learning (FRL) of compact representations to minimize the data needs and manipulations
3. Adaptive distribution and optimization of AI inferencing in the cloud-edge computing continuum

The synthetic data generation task aims to develop an event-driven simulation approach for the generation of customizable and realistic datasets. Methods such as agglomerative clustering will create the corresponding event-based models that generate datasets for sensor data (e.g., occupancy, temperature, and more). The FRL task aims to develop techniques that can be applied in AIoT systems to enable efficient representation and learning of data. A parallel, distributed and federated (P-D-FL) learning system will be introduced to split among the edge-based compactification sub-models and the server-based FRL system. Finally, the AI inferencing task is focused on developing techniques for optimal distribution of AI learning and inferencing in the IoT-Edge-Cloud continuum. The aim is to efficiently manage the trade-off between resource utilisation and inference performance across the continuum, by adapting to the dynamic changes in the data processing environment.

Level of training and / or experience required:

- PhD or Doctorat for less than 3 years

Essential skills, knowledge and experience:

- Good experience and knowledge in AI, Unsupervised Learning, Federated Learning and IoT systems

- Good level in Java/C/C++ programming languages

- Good level in middleware-based IoT protocols and networks

Advantageous skills, knowledge and experience:

- Desired experience in IoT-Edge-Cloud technologies

- Desired experience in orchestration tools involving the deployment and configuration of infrastructures and services (Docker, Kubernetes, etc.)

Abilities and skills:

- Strong motivation for research

- Ability to work in a team

- Spirit of initiative and creativity

- Autonomy

- Curiosity

APPLICATION PROCEDURE

• Application deadline: February 12th, 2025
• Nature of the contract: 12-months
• Category and profession of the position: II - P, Post-doctoral
• To apply, please send us a CV, a cover letter and a summary of your doctoral thesis
• Location of the position : Evry-Courcouronnes (France)
• The positions offered for recruitment are open to all with, on request, accommodations for candidates with disabilities
• Working conditions: Teleworking possible, restaurant and cafeteria on site, accessibility by public transport (with employer's participation) or close to main roads, staff association and sports association on campus
• Contact : Georgios BOULOUKAKIS - (+33)1.60.76.40.40