Post-doctoral position: AI Models: A Postdoctoral Researcher position is available at T´el´ecom SudParis, France, working on the EU project PANDORA: Trustworthy Data Pipelines and AI Models for AIoT Applications. The position is funded for an initial duration of one year, with a possibility for extension by up to one additional year. Applications are invited from candidates with Ph.D. degrees in computer science or a closely related field, along with relevant experience and a strong publication record.
Post-doctoral position: Trustworthy Data Pipelines and AI Models for AIoT Applications
Designation: Postdoctoral Researcher
Research Area: Trustworthy Data Pipelines and AI Models for AIoT Applications
Location: T´el´ecom SudParis, France
Eligibility/Qualification: Candidates should have a Ph.D. in Computer Science or a closely related field. Relevant experience and a strong publication record are essential.
Job Description: The selected candidate will be part of the DiSSEM Team at T´el´ecom SudParis, working on the research scope of PANDORA. The focus includes providing trustworthy AI models for continual, energy-efficient, and robust operation of AIoT systems, utilizing concepts like AI-as-a-Service (AIaaS) and Computing-as-a-Service (CaaS). Specific areas of responsibility include AIaaS for dynamic model selection, joint optimization of IoT-Edge-Cloud computing nodes, and intent-driven control for trustworthy closed-loop operations.
How to Apply: Interested candidates should contact Georgios Bouloukakis at georgios.bouloukakis AT telecom-sudparis.eu. The application should include:
- Curriculum vitae, including a comprehensive list of publications.
- List of up to 3 reference persons and their e-mail addresses.
- Link to the Ph.D. thesis.
All documents must be sent in pdf format. Potential candidates are welcome to contact for a discussion prior to submitting an application.
Last Date for Apply: 01 April 2024
Table: Application Overview
| Document | Format |
|---|---|
| Curriculum Vitae | |
| List of References | |
| Link to Ph.D. Thesis |
Table: Research Focus
| Research Area | Key Focus |
|---|---|
| Middleware | Efficient and continual AIoT system operation |
| Distributed Systems | AIaaS, IoT-Edge-Cloud computing, Intent-driven control |
| AI Systems | Dynamic model selection, Optimization of computing nodes |
| IoT-Edge-Cloud Apps | Trustworthy closed-loop operations with defined intents |
