云原生与AI原生6G网络方向博士研究员(科研助理,薪级P)
PhD Position in Cloud-Native and AI-Native 6G Networks
原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 本项目与爱立信合作,研究下一代移动网络中的数据平面可编程性,重点关注云原生与AI原生无线接入网(RAN),具体涵盖异构可编程数据平面通用抽象层的规范与实现、多租户及模块化机制,以及智能自适应控制下的可编程无线资源管理等研究挑战。
- 申请条件
- 申请者须持有相关学科(如计算机科学、电气与计算机工程、安全与网络工程等)的硕士学位或同等学历(或即将完成);具备出色的编程技能(Python、C/C++);流利的英语口头及书面表达能力及良好的演讲技巧。具备Kubernetes云原生平台经验、可编程网络技术(如eBPF、P4)或移动网络架构协议经验者为加分项。
- 待遇
- 提供为期4年、每周38小时的临时雇佣合同(初始合同18个月,考核合格后延期至4年,旨在产出博士论文);根据相关经验,基于每周38小时的毛月薪介于3,059欧元至3,881欧元之间(P薪级),另含8%的假期津贴和8.3%的年终奖;符合条件的非荷兰籍申请者可能适用30%税收优惠协议。
- 申请方式
- 可通过在线按钮提交申请,截止日期为2026年11月15日;如有疑问可联系Dr. Chrysa Papagianni(c.papagianni@uva.nl)。
- 材料清单
- 详细简历(CV),教育和工作经验需精确到月份
- 动机信
- 发表论文列表
- 两位可提供推荐信的推荐人姓名及电子邮箱地址
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
岗位信息
- 截止
- (Europe/Amsterdam) 剩 17 天
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 原文薪资
- EUR 3,059–3,881 / 月(税前)
- 税后月薪(估)
- ¥18,100–¥23,000;房租后 ¥10,200–¥15,100
- 估算假设
- 单身、无子女、雇佣合同的粗略估算,以学校 offer 为准;扣除率 25%;汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选(待核验)
- Dr. Chrysa Papagianni
- 来源
- AcademicTransfer(荷兰学术招聘) · 最近核对 2026-10-29
- 详情核验
判定依据(原文摘录)
- english_ok
fluency in oral and written English and good presentation skills
- bachelor_ok
Master's degree or equivalent program (completed or near completion: see below) in a relevant discipline
原文
Are you passionate about shaping next-generation mobile networks? If so, please continue reading!
Join us! Software-defined and programmable networking is a key enabling technology for cloud-native and AI-native 6G networks, supporting greater scalability, flexibility, automation, and efficient resource utilization. Cross-layer and cross-domain programmability, across the control and data planes and from RAN to core, is expected to be a defining characteristic of 6G systems, which are currently being developed and standardized. In this context, data plane programming capabilities in next-generation mobile networks can bring significant benefits with regards to network slicing and multi-tenancy, dynamic traffic engineering, offloading network functions to hardware accelerators, etc.
Specifically, this PhD project, conducted in collaboration with Ericsson, the leading mobile communications equipment manufacturer, will investigate data-plane programmability in next-generation mobile networks, with a particular focus on cloud-native and AI-native Radio Access Networks (RAN). The candidate will investigate research challenges including, but not limited to, the specification and implementation of common abstraction layers for heterogeneous programmable data planes, mechanisms for data-plane multitenancy and modularization, and programmable radio resource management, with an emphasis on intelligent and adaptive control.
The research is conducted within the scope of the Future Network Services (FNS): the 6G flagship project for the Netherlands where 60 leading ICT businesses, mobile operators, semiconductor manufacturers and research institutions, have united to spearhead the development of specific aspects of 6G: Software antennas, AI-driven networking, and groundbreaking 6G applications.
You will be embedded in the MNS group. The group focuses its research on the fundamental architectural problems that arise from the interconnection of systems and of data flows. We look at the emerging architectures that can support the operations of the future Internet. More information can be found at: https://mns-research.nl/
Within Ericsson Hungary, your work will be anchored to the team in Ericsson's Research Area Networks, which drives innovations towards 6G and the future network platform. Our local competence and expertise are in Radio Network (RAN) and Packet Core architectures and protocols, programmable networks, and network automation. More information is available at https://www.ericsson.com/en/about-us/company-facts/ericsson-worldwide/hungary/research-ericsson-hungary
This is what you will do Tasks and responsibilities: • focus on the development and evaluation of and end-to-end programmable data plane, supporting multitenancy and modularity, through the definition and implementation of a generic hardware abstraction layer, supporting heterogeneous systems e.g., GPUs, TPUs, FPGAs, SOCs. • Investigate optimization aspects of network control and data plane functionality. • develop appropriate proof of concept(s) to benchmark the performance or validate the applicability of proposed approaches; • access a unique state-of-the-art testbed to also put theory to practice and be at the forefront of the Dutch 6G national ecosystem; • become active in the research community and collaborate with other institutes and/or companies that are part of the project; • publish and present work regularly at international conferences, workshops, and journals; • contribute to teaching activities, including lab sessions, and assist in the supervision of Bachelor’s and Master’s students.
What we ask of you Your experience and profile: • Master's degree or equivalent program (completed or near completion: see below) in a relevant discipline, such as computer science, electrical and computer engineering, security and network engineering etc.; • excellent programming skills (python, C/C++); • experience with cloud-native platforms, particularly Kubernetes, is an advantage. • experience in programmable networking technologies and DSLs such as eBPF and P4 is a plus; • knowledge in mobile network architectures and protocols is a plus; • the willingness to be part of an international research team; • fluency in oral and written English and good presentation skills; • commitment to maintaining an inclusive, collaborative, diverse, supportive work environment.
This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,059 to € 3,881 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Promovendus is applicable.. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it here.
You will work in this team The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The MultiScale Networked Systems (MNS) group) is part of the Informatics Institute at the University of Amsterdam. The group focusses its research on multiscale systems e.g. cloud systems or clusters that define themselves by their dynamic size and scale, and on the network connecting them. The MNS group explores the emerging architectures that can support emerging applications across the future internet.
Want to know more about our organisation? Read more about working at the University of Amsterdam.
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button. We accept applications until and including 15 November 2026
Applications should include the following information (all files besides your cv should be submitted in one single pdf file): • a detailed CV including the months (not just years) when referring to your education and work experience; • a letter of motivation; • a list of publications; • the names and email addresses of two references who can provide letters of recommendation.
A knowledge security check can be part of the selection procedure. (for details: national knowledge security guidelines )
Only complete applications received within the response period via the link below will be considered.
Do you have any questions or do you require additional information? Please contact: • E: Dr. Chrysa Papagianni, Associate Professor, c.papagianni@uva.nl
• T: +31 628152140