PhD student in Computer Engineering, AI‑based 6G Wireless Communication

At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at the research center Sensible Things that Communicate (www.miun.se/stc) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence.

This PhD position focuses on the development of explainable and robust AI methods applied to 
Open Radio Access Networks (O-RAN), targeting next-generation wireless systems — 6G. The 
research is conducted within the Communication Systems and Networks group at Mid Sweden 
University, a leading Scandinavian research group in wireless connectivity. The group includes 
around 30 researchers of diverse nationalities, actively participates in international projects, and 
maintains strong collaboration with industry.

The project aims to develop AI-supported solutions for programmable O-RAN systems, with tasks 
including decision explanation, detection of inconsistencies, and optimization of real-time control 
and resource allocation. The research will involve use cases relevant to 6G technologies, such as 
Massive MIMO, network slicing, and cross-layer coordination.

As part of this position, you will work closely with leading academic and industry experts, 
contributing to cutting-edge innovations in next-generation wireless communication systems.

Job description
As a Ph.D. candidate, your main task is to pursue research and graduate studies. The position 
includes 100% research. The candidate is expected to pursue theoretical and experimental 
research.

Requirements
To be considered for a PhD position, the applicant must meet the entry requirements for 
admission to Mid Sweden University´s third-cycle programme. To meet the entry requirements, 
the applicant must have a second-cycle degree or have completed at least 240 ETCS credits of 
which at least 60 credits should be second-cycle courses. An additional requirement is that 90 
credits of the 240 total must consist of courses in Computer Engineering. The applicant is also 
eligible for consideration if s/he has acquired the corresponding knowledge in some other way. A 
Master of Science degree in wireless communication, electrical engineering, signal processing, 
computer engineering, or engineering physics is an appropriate background for employment.

Assessment
In addition to the formal eligibility requirements, selection will be based on previous work (e.g., 
thesis), advanced coursework, and interviews with short-listed candidates. A strong background 
in wireless communication is mandatory. Particular emphasis will be placed on theoretical 
knowledge in linear algebra, optimization, and statistics. Experience with stochastic processes is 
desirable. Prior experience in artificial intelligence (AI), machine learning (ML), and the use of 
simulation tools or experimental network platforms is considered an advantage. Programming 
skills in Python, Matlab, or C/C++ are also beneficial.

Personal Criteria
We are looking for a candidate who:

• Has a strong interest in radio technology and network optimization
• Works independently and in a structured way
• Is collaborative and solution-oriented
• Has strong analytical skills
• Communicates effectively in English, both orally and in writing

Other qualifications
The ability to understand and interpret scientific literature in English is required.

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 and entry
The PhD position is a full-time employment for two years, leading to a licentiate degree. The 
position may be extended to a full doctoral degree, subject to additional funding. Starting date by agreement.

Initial employment is for one year, with possible extension up to two years at a time. Regulations 
follow Chapter 5, Sections 1–7 of the Higher Education Ordinance (1993:100).

Place of employment: Sundsvall

Salary: According to Mid Sweden University’s salary scale for doctoral students

Information
For further information, please contact Prof. Mikael Gidlund, or Dr. Patrik Österberg (Head of 
Department), patrik.osterberg@miun.se, phone +4660148614.

Application
Application documents must be submitted in Swedish or English. The application should include 
a verified CV, copies of official transcripts and degree certificates, a description of objectives 
according to the above as well as other documents the applicant would like to refer to.

Please welcome to apply through our recruitment tool no later than August 20, 2025.

Mid Sweden University has two campuses; in Sundsvall and in Östersund, both located close to students, colleagues and the surrounding society. At the same time, it is located conveniently close to the sea, forests and mountains, which provides a great quality of life. Here, new knowledge is created by means of internationally successful research and education that contribute to the development of our society. This way, we actively contribute to a sustainable future and a better world. Mid Sweden University works actively for equal opportunities and strives to embrace the qualities that diversity and equality bring to the organization. Prior to any recruitment work, Mid Sweden University has taken a position on consulting support, recruitment channels and marketing. We therefore kindly ask media vendors, recruitment sites and the like not to contact us.

• Contract type

  Full time

• First day of employment

  As agreed

• Salary

  Mid Sweden University’s salary scale for doctoral students

• Number of positions

  1

• Working hours

  100%

• City

  Sundsvall

• County

  Västernorrlands län

• Country

  Sweden

• Reference number

  MIUN 2025/1887

• Union representative
  • Per Bergman, Fackförbundet ST, 010-1428371
  • Börje Norlin, Saco, 010-1428594
• Published

  2025-07-08

• Last application date

  2025-08-20