Postdoctoral Position in Electrical Engineering (Lund University)

Institution: Department of Electrical and Information Technology, Lund University, Sweden Faculty: LTH – Faculty of Engineering Start Date: As soon as possible by agreement, no later than 1 April 2026 Employment: Full-time, temporary (2 years) Reference Number: PA2025/2640 Application Deadline: 7 January 2026 About the Department The Department of Electrical and Information Technology at Lund University covers the full technology stack—from wireless hardware and radio systems to distributed cloud platforms and applications. The Division of Secure and Networked Systems focuses on scalable cloud design, real-time orchestration, and edge-cloud convergence. The department offers access to world-class research infrastructure, including the LISA 6G testbed and the University’s 5G lab, and maintains strong collaboration with academia and industry. Project Description This postdoctoral position is part of NextG2Com, a Vinnova Competence Center focused on next-generation communication systems integrating wireless communication, networking, software, data, and security. Research Focus: Design and implement cloud-native platforms for scalable, low-latency XR/VR offloading in 6G networks Adapt Kubernetes for heterogeneous and resource-constrained edge/cloud environments Integrate hardware accelerators (GPU, FPGA) for real-time applications Validate performance using the LISA 6G testbed Key Objectives: Develop latency-aware orchestration strategies for XR/VR task offloading Build modular, high-performance cloud-edge components Collaborate with academic and industrial partners to ensure practical applicability Publish results in high-quality journals and conferences Duties Conduct research on cloud-native edge-cloud architectures integrated with wireless networks Design, deploy, and operate Kubernetes-based platforms on constrained hardware Implement orchestration strategies for XR/VR offloading and migration Validate and document research in testbeds Possible teaching responsibilities (≤20%) and participation in research training activities Qualifications Required: PhD (or equivalent) in Electrical Engineering, Computer Science, or related field Very good oral and written English Strong programming skills and hands-on experience with cloud-native technologies Knowledge of container orchestration (Kubernetes) and heterogeneous systems Experience with hardware acceleration (GPU, FPGA) Experience with Linux environments, distributed systems, and cloud platforms Ability to work independently and collaboratively Preferred: Knowledge of XR/VR systems or Unity development Experience in cloud computing platforms and performance optimization Employment & Benefits Full-time (100%) for 2 years, fixed-term Generous annual leave and occupational pension scheme Lund University provides a stimulating research environment with excellent training opportunities Contact: William Tärneberg, Associate Senior Lecturer – william.tarneberg@eit.lth.se Union Representatives: OFR/ST: st@st.lu.se SACO: kansli@saco-s.lu.se SEKO: sekocivil@seko.lu.se If you apply for this position please say you saw it on Engineeroxy

Institution: Department of Electrical and Information Technology, Lund University, Sweden
Faculty: LTH – Faculty of Engineering
Start Date: As soon as possible by agreement, no later than 1 April 2026
Employment: Full-time, temporary (2 years)
Reference Number: PA2025/2640
Application Deadline: 7 January 2026

About the Department

The Department of Electrical and Information Technology at Lund University covers the full technology stack—from wireless hardware and radio systems to distributed cloud platforms and applications. The Division of Secure and Networked Systems focuses on scalable cloud design, real-time orchestration, and edge-cloud convergence.

The department offers access to world-class research infrastructure, including the LISA 6G testbed and the University’s 5G lab, and maintains strong collaboration with academia and industry.

Project Description

This postdoctoral position is part of NextG2Com, a Vinnova Competence Center focused on next-generation communication systems integrating wireless communication, networking, software, data, and security.

Research Focus:

Design and implement cloud-native platforms for scalable, low-latency XR/VR offloading in 6G networks
Adapt Kubernetes for heterogeneous and resource-constrained edge/cloud environments
Integrate hardware accelerators (GPU, FPGA) for real-time applications
Validate performance using the LISA 6G testbed

Key Objectives:

Develop latency-aware orchestration strategies for XR/VR task offloading
Build modular, high-performance cloud-edge components
Collaborate with academic and industrial partners to ensure practical applicability
Publish results in high-quality journals and conferences

Duties

Conduct research on cloud-native edge-cloud architectures integrated with wireless networks
Design, deploy, and operate Kubernetes-based platforms on constrained hardware
Implement orchestration strategies for XR/VR offloading and migration
Validate and document research in testbeds
Possible teaching responsibilities (≤20%) and participation in research training activities

Qualifications

Required:

PhD (or equivalent) in Electrical Engineering, Computer Science, or related field
Very good oral and written English
Strong programming skills and hands-on experience with cloud-native technologies
Knowledge of container orchestration (Kubernetes) and heterogeneous systems
Experience with hardware acceleration (GPU, FPGA)
Experience with Linux environments, distributed systems, and cloud platforms
Ability to work independently and collaboratively

Preferred:

Knowledge of XR/VR systems or Unity development
Experience in cloud computing platforms and performance optimization

Employment & Benefits

Full-time (100%) for 2 years, fixed-term
Generous annual leave and occupational pension scheme
Lund University provides a stimulating research environment with excellent training opportunities

Contact: William Tärneberg, Associate Senior Lecturer – william.tarneberg@eit.lth.se

Union Representatives: