Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Georgios Bouloukakis profile picture

Georgios Bouloukakis

Has grant

Dr. at Télécom SudParis

University of Patras
Country flagGreece

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

About

Dr. Georgios Bouloukakis is a faculty member at Télécom SudParis in France. His research areas include urban Internet of Things (IoT) planning, energy-efficient industrial spaces, and performance analysis of interconnected IoT devices. He has contributed notably to topics such as community smart parcel systems and simulation-based queueing models for IoT interactions.

Recent Grants

Grant: Open

Multi facEteD ImplementAtion of a mixed sofTwarE/hardware-based zero-trust framework for the computing continuum

Open Date: 2024-11-01

Close Date: 2027-10-31

Grant: Open

A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS

Open Date: 2024-11-01

Close Date: 2027-10-31

Grant: Open

A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation

Open Date: 2024-04-01

Close Date: 2027-03-31

Grant: Close

Digital maintenance for sustainable and flexible operation of hydro-power plant

Open Date: 2023-10-01

Close Date: 2026-09-01

Positions (1)

Publisher
source

Georgios Bouloukakis

University Name
.

Télécom SudParis

Télécom SudParis, a leading public graduate engineering school in France, is seeking a Postdoctoral Researcher for a 12-month contract in computer science, with a focus on Artificial Intelligence of Things (AIoT) systems. The institution is renowned for its excellence in digital technology and is part of the prestigious Institut Mines-Telecom and the Institut Polytechnique de Paris. The successful candidate will join the DiSSEM Team, working under the supervision of Dr. Georgios Bouloukakis, and contribute to the MEDIATE research scope, which aims to develop trustworthy AI models for continual, energy-efficient, and robust operation of AIoT systems. Research activities will include scalable synthetic data generation enabled by machine learning, federated learning of compact data representations to minimize data needs, and adaptive distribution and optimization of AI inferencing across the cloud-edge continuum. The position is based in Evry-Courcouronnes, France, with flexible working conditions including teleworking options, on-site amenities, and accessibility support. Applicants must have a PhD (obtained within the last 3 years), strong programming skills (Java, C, C++, Python), and preferably experience in IoT-Edge-Cloud technologies, self-adaptive systems, and orchestration tools (Docker, Kubernetes). The role offers the opportunity to work in a dynamic, innovative research environment at the intersection of AI, IoT, and cloud computing. Applications should include a CV and cover letter and be submitted by November 17, 2025. For further information, candidates may contact Dr. Georgios Bouloukakis at [email protected].

1 year ago

Articles (10)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2021

Year:

2021

Year:

2021

Collaborators (6)

Conan Denis

Associate Professor

Télécom SudParis

FRANCE
View details

Konstantinos Tserpes

Faculty Member

National Technical University of Athens

GREECE
View details

Alexandros Iosifidis

Professor of Machine Learning

University of Tampere

FINLAND
View details

Nalini Venkatasubramanian

Professor

University of California, Irvine

UNITED STATES
View details

Kostas Magoutis

Professor

University of Crete

GREECE
View details

Roberto Yus Peirote

Assistant Professor

University of Maryland Baltimore County

UNITED STATES
View details