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Linköping University

Just Landed

PhD Student in Communication-Efficient Distributed Inference and Decentralized AI Linköping University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

This is a paid PhD employment lasting normally four years of full-time equivalent, with possible extension to five years depending on teaching and institutional duties. The initial employment is for one year and may be renewed for up to two years at a time based on progress. The starting salary is approximately 37,500 SEK per month, with employee benefits including a pension. Teaching or other departmental duties may comprise up to 20% of full-time.

Deadline

Dec 18, 2026

Country flag

Country

Sweden

University

Linköping University

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Mathematics
Optimisation
Statistics
Distributed System

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About this position

Linköping University is offering a PhD position in communication-efficient distributed inference within the project “Communication-Efficient Synchronization of Predictions for Distributed Intelligent Systems (CESP),” funded by the Swedish Research Council.

The research aims to establish theoretical foundations for communication-efficient cooperation among distributed predictive agents. The project focuses on synchronizing predictions when agents operate with mismatched local contexts and models, supporting robust decision-making in distributed intelligent systems.

The work combines information and communication theory, signal processing, statistical learning, optimization, applied probability, and distributed systems. Alongside rigorous theoretical development, the project offers opportunities to validate ideas using modern distributed generative AI and agentic AI systems.

The successful candidate will join the Division for Communication Systems in the Department of Electrical Engineering at Linköping University. The division conducts research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning.

The PhD student will become part of a research team led by Assistant Professor Khac-Hoang Ngo. The team includes doctoral researchers working on massive connectivity, point-cloud transmission, distributed inference, and AI security, providing an interdisciplinary environment spanning wireless communications, machine learning, and secure intelligent systems.

Funding details

This is a paid PhD employment lasting normally four years of full-time equivalent, with possible extension to five years depending on teaching and institutional duties. The initial employment is for one year and may be renewed for up to two years at a time based on progress. The starting salary is approximately 37,500 SEK per month, with employee benefits including a pension. Teaching or other departmental duties may comprise up to 20% of full-time.

What's required

Applicants must hold a Master's-level degree in Electrical Engineering, Computer Science, or Applied Mathematics comprising at least 240 credits, including at least 60 credits in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics, or possess essentially equivalent knowledge. The degree requirement must be fulfilled no later than the signing of the employment contract. Applicants must demonstrate strong mathematical maturity, solid programming skills, excellent oral and written English communication, independence, goal orientation, clear communication, and effective collaboration. Particularly relevant backgrounds include information theory, communication theory, signal processing, optimization and learning, applied probability and statistics, and distributed systems.

How to apply

Click the “Apply” button in the official Linköping University recruitment portal and submit the required application documents before December 18, 2026. Late applications will not be considered.

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