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University of Amsterdam

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PhD Position in Cloud-Native and AI-Native 6G Networks University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Temporary PhD contract for 38 hours per week for 4 years total, with an initial 18-month contract and extension after satisfactory evaluation. Gross monthly salary ranges from €3,059 to €3,881 based on experience and seniority, excluding 8% holiday allowance and 8.3% year-end bonus. A favourable 30% ruling may apply to non-Dutch applicants.

Deadline

Nov 15, 2026

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Country

Netherlands

University

University of Amsterdam

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Keywords

Computer Science
Electrical Engineering
Information Technology
Network Slicing
Radio Access

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About this position

PhD Position in Cloud-Native and AI-Native 6G Networks at the University of Amsterdam, Faculty of Science, within the MultiScale Networked Systems (MNS) group and the Informatics Institute.

This PhD project focuses on software-defined and programmable networking for next-generation 6G networks, with emphasis on cloud-native and AI-native Radio Access Networks (RAN). The research will investigate end-to-end programmable data planes, common abstraction layers for heterogeneous programmable hardware, multitenancy, modularity, network slicing, dynamic traffic engineering, and programmable radio resource management. The project is conducted in collaboration with Ericsson and is embedded in the Dutch Future Network Services (FNS) 6G flagship ecosystem.

Research interests and technical keywords include computer science, electrical engineering, programmable networking, Kubernetes, eBPF, P4, mobile network architectures, packet core, RAN, and network automation. The role includes developing proof-of-concepts, benchmarking performance, using a state-of-the-art testbed, publishing in international venues, collaborating with institutes and companies, and contributing to teaching and supervision.

Eligibility highlights: a completed or near-completion Master's degree in a relevant discipline; strong programming skills in Python and C/C++; cloud-native experience is an advantage; programmable networking experience is a plus; fluency in English and good presentation skills are required.

Funding and contract: temporary PhD employment for 4 years total (initial 18 months, then extension after satisfactory evaluation), 38 hours/week, with gross monthly salary from €3,059 to €3,881 plus holiday allowance and year-end bonus. A 30% ruling may apply to non-Dutch applicants.

Application deadline: 15 November 2026. Apply online and include a CV, motivation letter, publication list, and two references with email addresses.

Funding details

Temporary PhD contract for 38 hours per week for 4 years total, with an initial 18-month contract and extension after satisfactory evaluation. Gross monthly salary ranges from €3,059 to €3,881 based on experience and seniority, excluding 8% holiday allowance and 8.3% year-end bonus. A favourable 30% ruling may apply to non-Dutch applicants.

What's required

Master's degree or equivalent program completed or near completion in a relevant discipline such as computer science, electrical and computer engineering, security and network engineering. Applicants should have excellent programming skills in Python and C/C++, experience with cloud-native platforms such as Kubernetes as an advantage, and experience with programmable networking technologies and DSLs such as eBPF and P4 as a plus. Knowledge of mobile network architectures and protocols is also a plus. Candidates should be willing to work in an international research team, communicate fluently in oral and written English, have good presentation skills, and contribute to an inclusive, collaborative, diverse, supportive work environment.

How to apply

Apply online via the vacancy page before 15 November 2026. Submit a detailed CV with months of education and work experience, a motivation letter, a list of publications, and the names and email addresses of two references in one single PDF file besides the CV.

More information can be found here

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