边丽网络和计算界面年学生对谁

Job description Independent third-cycle studies encompassing research (80-100%), teaching and administrative tasks (0-20%). The PhD student will work within the project ResilientEdge, a collaborative initiative between Mid Sweden University and the University of Oulu, Finland. This project focuses on advancing research in resilient infrastructure and services in a world with insecure and unstable Internet connectivity. The responsibilities include conducting research and developing solutions for future resilient networks and resilient distributed services, including evaluating vulnerabilities and implementing protection mechanisms against threats in heterogeneous Cloud/Fog/Mist/Edge environments. The PhD student will work with advanced methods to analyze, identify, and improve resilience of next generation networks. Including requirements capturing from SME partners, developing resilient scalable edge platform architectures, implementing AI for resilient infrastructure, resilient distributed inference, and hyperlocal computations with tiny edge AI. The work for this position will be carried out at the Communication Systems and Networking research group at the STC research centre, in close collaboration with international academy and industrial partners.

Entry requirements General entry requirements include a second-cycle level qualification, or fulfilment of courses comprising at least 240 credits of which at least 60 credits must be at second-cycle level, or the equivalent knowledge gained in some other way in Sweden or abroad. Specific entry requirements include at least 90 credits in the subject of Computer Science, Computer Engineering, or Electrical Engineering, or the equivalent knowledge gained in some other way in Sweden or abroad.

Assessment criteria The candidate is required to have demonstrated expertise and a proven work record in energy efficient distributed system design, including deep expertise in federated learning on constrained devices. You must also have practical experience implementing Cloud-Native Edge Computing with specific knowledge on deploying Kubernetes and microservices at the Edge. A proven ability to write high-quality code in Python for distributed applications and the ability to work with IoT devices such as the Raspberry Pi is also essential. Previous experience of the following topics is meritorious: The Cloud/Fog/Edge continuum, resilient edge infrastructure, resilient edge AI services, Federated learning, hyperlocal/tiny edge AI, distributed task offloading, and industrial IoT networks.

Personal qualities The position requires strong collaboration skills and flexibility, as well as the ability to work both independently and as a part of a team. The applicant is required to have strong analytical and problem solving skills, as well as excellent communication skills in English, both spoken and written. Additional desirable qualities are curiosity, creative thinking, being inventive, taking own initiatives, and being goal oriented.

Other assessment criteria The applicant should be able to communicate research findings to both academic and non-academic audiences. Experience working in international environments is considered a merit. Other assessment criteria also include larger software projects, and other activities relevant for the position. A brief description of the applicant’s visions and goals must be included in the application.

Employment process Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden University’s Employment Procedures .

Terms of employment The doctoral studentship position corresponds to two years of full-time studies and is expected to lead to a Degree of Licentiate. The position can be extended to a Degree of Doctor provided that further funding is obtained. Initial doctoral student positions are valid for a maximum of one year, after which the position may be renewed by no longer than two years at a time. Provisions regarding doctoral studentship employment can be found in the Higher Education Ordinance (1993:100), Chapter 5, Sections 1-7. Entry date: 2027-01-01 or as agreed Place of employment: Sundsvall Salary: In accordance with Mid Sweden University’s salary scale for doctoral students.

Information For more detailed information contact the Head of department, Assoc. Prof. Patrik Österberg, patrik.osterberg@miun.se, or Project leader Assoc. Prof. Stefan Forsström, stefan.forsstrom@miun.se.

Application Application documents must be submitted in Swedish or English. Documents to be appended to the application: • Cover letter (max. 1 page) • Curriculum vitae • Statement of research interests (max. 1 page) • Copies of official transcripts and degree certificates (MSc+BSc), and their English translations (Swedish certificates are accepted), and Diploma Supplement • Links to MSc and Bsc theses • Contact details of two referees • Other documents the applicant would like to refer to

Please send in your application through recruitment system by no later than 2026-10-31.