PhD student in Electronics with focus on medical sensor fusion systems

Mid Sweden University is a university where people meet, are inspired and think in new ways. We are located in Sundsvall and Östersund, and have a wide range of courses both on campus and online. Good relations with the outside world give our research and education a solid position in society and, not least, in the region. 

The research center STC (Sensible Things that Communicate, www.miun.se/stc) is looking for a PhD student in sound imaging systems. The research will be carried out together with partners in a larger project that integrates technology challenges in sensor technology for medical applications.

Job description
Independent third-cycle studies encompassing 100% research.

We offer a PhD position in sensor fusion-based technology focused on studying prediction and classification of medical conditions, using deep learning on data from sound, electrical and optical devices. The position is related to collaborating research groups with activities in machine learning, sound analysis and image analysis as well as artificial intelligence. The research is carried out in close collaboration with national and international partners. 

The focus of the position is in the area of classification of sound, electrical and optical data. The service may also include aspects of signal analysis and signal processing. Work can be experimental and theoretical in nature and include data collection, development and verification of models, and generalization of solutions.

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 electrical engineering, computer technology or subjects closely related to these, or the equivalent knowledge gained in some other way in Sweden or abroad. 

Assessment criteria
In addition to the formal eligibility requirements, the selection will also be based on the relevance of prior knowledge for working with classification, medical classification, deep learning and signal processing, relevance in thesis work, project work, previous publications, courses and interviews with the applicants. Experience in implementing deep learning models for medical classification is seen as an advantage.

Personal qualities
Personal qualities such as cooperativeness, initiative and suitability for doctoral studies will be weighed against the formal subject knowledge. 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 four years of full-time studies and is expected to lead to a Degree of Doctor. The entry date is 01-04-2026 or as agreed.

Place of employment: Sundsvall

Salary: In accordance with Mid Sweden University’s salary scale for doctoral students.  

Information
Further information is provided by the head of department, Patrik Österberg patrik.osterberg@miun.se, Telephone, +46 (0)10 142 86 14 and professor Jan Lundgren jan.lundgren@miun.se, Telephone +46 (0)10 142 85 56. See also STC's website www.miun.se/stc. 

Application
Application documents must be submitted in Swedish or English. 

The application must also contain certified curriculum vitae, copies of grades and diplomas, indication of the desired research area as above, and other documents that are requested to be cited.

Please send in your application through our recruitment system no later than 06-01-2026.

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

  01-04-2026 or 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 2025/3249

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

  2025-12-16

• Last application date

  2026-01-06