Postdoc: Build Resilient Satellite-Quantum Networks

Dansk Sprogskole; Aalborg; Hybrid; DKK 320,000 - 460,000; Full time

Job summary

A postdoctoral position at Aalborg University’s Connectivity Section invites applications to develop techniques for modeling integrated satellite and terrestrial networks as dynamic graphs using spatial and orbital dynamics. You will work in an international environment with experts in mobile and satellite communications, AI, statistics, and graph theory.

Your role includes exploring graph representation learning, conformal prediction for reliability guarantees, and decentralised algorithms to

Qualifications

• PhD required in a relevant field.
• Experience with information- and communication-theoretic modelling, programming, probability, statistics, and AI.
• Documented publications in recognised international journals and conferences.

Responsibilities

• Model integrated satellite and terrestrial networks as dynamic graphs based on spatial characteristics and orbital dynamics.
• Investigate feature extraction and graph representation learning algorithms and AI methods such as graph neural networks.
• Develop distribution-free methods for reliability guarantees using conformal prediction.

Skills

Graph theory

AI methods

Statistics

Programming

Graph neural networks

Information theory

Education

PhD in electrical engineering / telecommunications / statistics / applied mathematics / data science

Tools

Python

MATLAB

Job description

A postdoctoral position at Aalborg University’s Connectivity Section invites applications to develop techniques for modeling integrated satellite and terrestrial networks as dynamic graphs using spatial and orbital dynamics. You will work in an international environment with experts in mobile and satellite communications, AI, statistics, and graph theory.

Your role includes exploring graph representation learning, conformal prediction for reliability guarantees, and decentralised algorithms to