项目介绍
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We are looking for a highly talented and motivated Ph.D. candidate to join our research team in scalable and secure distributed inference. This project, “Communication-Efficient Synchronization of Predictions for Distributed Intellient Systems (CESP)”, is funded by the Swedish Research Council (VR).
Your work assignments
The project aims to establish a theory for communication-efficient cooperation among distributed predictive agents, with a focus on synchronization of predictions under mismatched local contexts and models for robust decisionmaking. The project will combine tools from information and communication theory, signal processing, and statistical learning. It is suitable for a candidate who is interested in developing rigorous foundations while also validating ideas through modern distributed generative and agentic AI systems.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Your qualifications
You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in another way. The requirement for a degree must be met no later than the time the employment decision is finalized, which occurs when the employment contract is signed.
Applicants must demonstrate strong mathematical maturity, solid programming skills, and an excellent ability to communicate in English, both orally and in writing. You must also be able to work independently, be goal-oriented, communicate clearly, and collaborate effectively with others.
We especially welcome strong applicants from backgrounds such as information theory, communication theory, signal processing, optimization and learning, applied probability and statistics, and distributed systems.
Your workplace
You will be based in the Division for Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University. The Division for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks.
For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy.
You will become a key member of a dynamic and ambitious research team led by Asst. Prof. Khac-Hoang Ngo. The team currently consists of 4 PhD students working on massive connectivity, point-cloud transmission, distributed inference, and AI security. Check the website https://khachoang1412.github.io/ and our recent relevant work, including:
• Prediction-Based Compression Using Large Language Models, IEEE BITS Inf. Theory Mag., 2026.
• Type-Based Unsourced Federated Learning With Client Self-Selection, IEEE ICC 2026.
• Type-Based Unsourced Multiple Access Over Fading Channels in Distributed MIMOWith Application
to Multi-Target Localization, IEEE Trans. Wireless Commun., 2026.Linköping University is ranked 43rd globally in AI research, 12th in Europe, and is recognized as a leading university in Sweden in this field, according to Vinnova’s report on strategic technologies for Sweden. In addition, Linköping has been awarded “Student City of the Year” in Sweden three times.
The employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University.
The employment has a duration of normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan.
Starting date by agreement, but no later than September 1, 2027.
Background screening may be carried out before any decision on employment is made.
Salary and employment benefits
The salary of PhD students is determined according to a locally negotiated salary progression. Your starting salary will be around 37, 500 SEK/month.
You will enjoy all employee benefits, including a pension. More information about employment benefits at Linköping University is available here.
Union representatives
Information about union representatives, see Help for applicants.
Application procedure
Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than December 18, 2026.
Applications and documents received after the date above will not be considered.
We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Contact persons
Khac-Hoang Ngo
Assistant Professor
+46 13282751
Erik G Larsson
Professor
+46 13 281312
Karin Blomdahl
HR Coordinator
URL to this page
https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=30232&rmlang=UK
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