A doctoral (PhD) student in Resilient Edge Computing and Networking

At the Department of Computer and Electrical Engineering, education is conducted in the subjects computer technology, electronics, electrical engineering and audio production. The research on the department takes place at the Research Center Sensible Things that Communicate (www.miun.se/stc) and is about sensor-based systems and services for use in the Internet of Things and artificial intelligence.

Tasks

Own doctoral education including research (80-100%) and teaching and administrative work (0-20%).

The doctoral student will work within the project Resilientedge, a collaboration between the Mid Sweden University and Oulu University in Finland. The project focuses on promoting research on robust infrastructure and robust services in a world with uncertain and unstable internet connection. The tasks include research and development of solutions for future robust networks and robust distributed services, including evaluation of vulnerabilities and implementation of protection mechanisms against threats in heterogeneous environments that include Cloud, Fog, Mist and Edge.

The doctoral student will work with advanced methods to analyze, identify and improve the robustness of the next generation network. This includes mapping requirements from partners in SMEs (SMEs), develop robust and scalable architectures for EDGE platforms, and implement AI for robust infrastructure, robust distributed inference and hyperl

Permissions

Basic jurisdiction has the one who has graduated at the advanced level or completed course requirements of at least 240 higher education credits, at least 60 Higher education credits at advanced level or in any other way within or outside the country acquired mainly corresponding knowledge. Special eligibility has the one who has at least 90 higher education credits in computer science, computer technology or electrical engineering, or in any other way within or outside the country acquired mainly corresponding knowledge.

Criteria

The applicant must have documented skills and experience of the design of energy-efficient distributed systems, including deep knowledge of federate learning (Federated Learning) on resource-limited units. Practical experience of implementing cloud-based EDGE Computing (Cloud-Native Edge Computing) is required, with special knowledge of the commissioning of Kubbernes and Micro Services in Edge Environments. Documented ability to write high quality code in Python for distributed applications and experience of work with IoT units, such as Raspberry PI, is also essential.

Previous experience of the following areas is merit: the continuum between clouds, FOG and EDGE (Cloud / Fog / Edge Continuum), Robust Edge infrastructure, Robust EDGE-AI services, federate learning, hyperlocal /

Personal characteristics

The service requires good cooperation and flexibility and ability to work both independently and in groups. The applicant must have good analytical ability and problem solving ability and excellent communication skills in English, both in speech and writing.

Other desirable properties are curiosity, creative thinking, ingenuity, initiative and targeting.

Other assessment grounds

The applicant should be able to communicate research results for both academic and non-academic audience. Experience of work in international environments is seen as a merit.

Other assessment grounds include experience of larger software projects and other activities relevant to the service.

A brief description of the applicant's visions and objectives must be attached to the application.

Processing

The preparation of the employment follows the forms set out in the University Regulation 5 Cape and continue in accordance with the Mid Sweden University's employment scheme.

Employment and access

The doctoral student is an employment that corresponds to two years of full-time studies and is expected to lead to a licentiate degree. The employment can be extended to a doctoral degree provided further funding is obtained.

A new employment as a doctoral student applies for a maximum of one year, the employment may then be renewed by a maximum of two years at a time. Provisions regarding employment as a doctoral student can be found in the Higher Education Ordinance (1993: 100), 5 Cape 1-7 §§.

Access: 2027-01-01 or as agreed.

Anställningsort: Sundsvall.

Salary: According to the center university's salary staircase for doctoral students.

Information

Further information is provided by head of department, Associate Professor Patrik Österberg, patrik.osterberg@miun.se, or the project manager Associate Professor Stefan Forsström, stefan.forsstrom@miun.se.

Application

Application documents must be in Swedish or English.

Documents to be attached to the application:

• Personal Letter (Max 1 page)
• Resume
• Reporting of research interests (max 1 page)
• Copies of official grades and diplomas (Master's degree + Bachelor Degree), as well as their English translations (Swedish certificates accepted), as well as diploma supplement
• Links to Master and Candidate Theses
• Contact information to two reference persons
• Other documents that the applicant wishes to refer to

Please submit your application via the recruitment systemLast the 2026 10-31.