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University of Kaiserslautern-Landau (RPTU)

PhD Position in Wireless Security and Integrated Sensing & Communication (ISAC) at RPTU University Kaiserslautern-Landau RPTU University Kaiserslautern-Landau in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time employment under the German public sector pay scale (TV-L E13), with a gross monthly salary of €4,500–€5,000. The position provides a competitive salary, social security coverage (health insurance, pension, unemployment insurance), and standard German public sector benefits for the full 3-year contract. Additional benefits include direct collaboration with leading research groups in the US and Germany, access to advanced testbeds and high-performance computing resources, and opportunit

Deadline

Apr 30, 2026

Country flag

Country

Germany

University

University of Kaiserslautern-Landau (RPTU)

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Mathematics
Telecommunications Engineering
Machine learning

About this position

The Division of Wireless Communications and Radio Positioning (HAN Group) at RPTU University Kaiserslautern-Landau, Germany, is inviting applications for a full-time PhD student position in the field of wireless security and Integrated Sensing & Communication (ISAC). This position is part of an international research collaboration involving RPTU, RWTH Aachen University, Karlsruhe Institute of Technology, University of Miami, and University of South Florida, funded by the NSF-DFG SaTC program.

The research focuses on next-generation wireless systems (5G/6G), where ISAC introduces new security challenges such as eavesdropping, spoofing, and jamming. The project aims to develop trust ISAC security frameworks, with research thrusts in transmitter verification, receiver verification, and data privacy protection. The PhD student will contribute to all thrusts, especially transmitter and receiver verification, and collaborate with international partners.

Responsibilities include conducting original research on physical layer security, device authentication, and secure channel design for ISAC systems; developing theoretical models, algorithms, and protocols; validating proposals through simulation and hardware experiments; collaborating with partner institutions; publishing in high-ranking journals; and participating in international research visits.

Applicants should have an M.Sc. in Electrical Engineering, Communications Engineering, Computer Science, or a related field, with strong skills in wireless communications, signal processing, mathematical analysis, and programming (Python/MATLAB). Experience with simulation tools and USRP hardware is a plus. Candidates should be self-motivated, able to work independently and in teams, and possess strong English communication skills. The position offers a competitive salary (TV-L E13, €4,500–€5,000/month), full social security, and opportunities for international collaboration and travel.

To apply, submit your CV, transcripts, a brief research statement, and two academic references to [email protected] by April 30, 2026. For more information, visit the supervisor's academic page or contact Bin Han directly.

Funding details

Full-time employment under the German public sector pay scale (TV-L E13), with a gross monthly salary of €4,500–€5,000. The position provides a competitive salary, social security coverage (health insurance, pension, unemployment insurance), and standard German public sector benefits for the full 3-year contract. Additional benefits include direct collaboration with leading research groups in the US and Germany, access to advanced testbeds and high-performance computing resources, and opportunit

What's required

Applicants must have an M.Sc. degree (or equivalent) in Electrical Engineering, Communications Engineering, Computer Science, or a closely related field, completed or near completion. A solid foundation in wireless communications and signal processing is required, along with proficiency in mathematical analysis and optimization (convex optimization, probability theory, information theory). Programming skills in Python and/or MATLAB are necessary; familiarity with simulation tools (ns-3 or similar) and USRP hardware is a plus. Candidates should have the ability to formulate research problems, familiarity with academic literature in ISAC systems, physical layer security, or machine learning for communications, and experience with academic writing. Strong motivation, independence, teamwork, and good oral and written English communication skills are expected. Willingness to travel for project meetings and research visits is required.

How to apply

Submit your CV, official transcripts, a brief research statement, and contact details of two academic references to [email protected] by April 30, 2026. Ensure your documents highlight your background and motivation. Review the project and required qualifications before applying. Contact Bin Han for further information.

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