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Onur Günlü

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PhD Position in Shannon Theory for Modern Compression Methods at TU Dortmund University TU Dortmund University in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 6, 2026

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Country

Germany

University

Technische Universität Dortmund

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Probability Theory
Data Compression

About this position

TU Dortmund University is advertising a PhD position in the Institute of Communications Engineering with Prof. Onur Günlü. The project is centered on Shannon theory for modern compression methods, combining information-theoretic analysis with data compression and learning-based methods.

The position is a strong fit for candidates interested in information theory, coding theory, probability theory, communication engineering, and related computational methods. The post explicitly asks for a solid background in probability theory and Shannon theory and good knowledge of PyTorch.

This is a full-time position paid according to TV-L E13 and offered as a Research Associate (WiMi) role while pursuing the PhD. Funding is provided by the Deutsche Forschungsgemeinschaft (DFG) / German Research Foundation.

Eligibility highlights include a relevant Master’s degree completed by the latest possible start date, and the ability to begin in Dortmund no later than April 2027. The start date is otherwise flexible.

Application materials requested: one-page cover letter, CV, detailed B.Sc. and M.Sc. transcripts, and a one-page motivation letter. Applications should be emailed to [email protected] by 2026-07-06.

Research interests on the supervisor’s page also align with broader themes such as randomized distributed function computation, information-theoretic privacy and security, integrated sensing and communication, statistical signal processing, and private learning.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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