Publisher
source

Walid Gaaloul

3 months ago

Postdoc in LLM-based Software and Data Engineering for Cloud-Edge-IoT Continuum Télécom SudParis in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

France

University

Télécom SudParis

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Keywords

Computer Science
Electrical Engineering
Information Technology
Cybersecurity
Cloud Computing
Python Programming
Edge Computing
Internet Of Things
Anomaly Detection
Java Programming
C
Home Monitoring

About this position

Postdoc opportunity at Télécom SudParis (Institut Polytechnique de Paris) in LLM-based software and data engineering for the Cloud–Edge–IoT continuum.

The project focuses on applying generative AI and large language model tooling to service orchestration, automated deployment and monitoring, anomaly detection, resource usage prediction, and continuous cyber posture assessment across heterogeneous cloud, edge, and IoT infrastructures. The work is motivated by real-world challenges in multi-cloud environments, smart cities, Industry 4.0, and connected vehicles, with attention to security, resilience, vendor lock-in, and compliance contexts such as NIS2 and DORA.

The post is hosted by Télécom SudParis, and the announcement is made by Walid Gaaloul. The research direction combines computer science, information technology, and cloud/edge systems engineering, with industrial validation on real use cases.

Eligibility highlights: PhD/doctorate obtained less than 3 years ago; strong practical experience with Generative AI/LLM tooling; solid cloud computing background; programming skills in Python, Java, C, and C++. Helpful extras include ML experience, Docker/Kubernetes/Terraform, and blockchain/BPM knowledge.

Application: send a cover letter and CV by 15 August 2026 to [email protected]. A linked application page is also provided in the post.

Funding details

Available

What's required

Applicants must hold a PhD/doctorate obtained less than 3 years ago. Strong hands-on experience with Generative AI and LLM tooling is required, along with solid cloud computing expertise. Proficiency in Python, Java, C, and C++ is expected. Advantageous skills include machine learning experience, orchestration tools such as Docker, Kubernetes, and Terraform, and knowledge of blockchain or BPM.

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Professors

Prof.dr.ir.

University Name
Country flag

France

Research Interests

Cloud Computing

Business Analytics

Data Center Management

Workflow Management

Edge Computing