PhD in Distributed Computer Systems

Är du redo att ta nästa steg i din akademiska resa? Som doktorand hos oss får du arbeta nära ledande forskare i en stark och internationell forskningsmiljö, med tillgång till avancerad labbutrustning och goda finansieringsmöjligheter. Du erbjuds en trygg anställning, handledning av hög kvalitet och utrymme att växa, både som forskare och som person.

In the coming years, we see that the use of AI in the Nordic region, especially in Sweden, Finland and Norway, can contribute to a more efficient, more inclusive and sustainable health system by creating an equal access to high quality care, even for people living in remote and This is clear from the investments of several billion dollars made in Norrbotten and Västerbotten, in projects with the aim of creating a more sustainable society. Luleå University of Technology (LTU) participates in several of these high-cost research projects and in the social transformation that follows in the development of AI-driven smart care solutions.

The service is located at the Department of System and Space Technology, Department of Computer Science, at Luleå University of Technology (LTU), Campus Skellefteå,With a focus on AI in health care for the development of smart care solutions in the Nordic region. You will work in an active research group with close cooperation with other universities in the Nordic region and municipalities and industrial partners about real use cases for e-health solutions. The research includes software systems, distributed systems, network technology and advanced data analysis. The opportunity to carry out a doctoral education in a dynamic and international research environment in collaboration with municipalities and business in the Nordic region. PhD student studies at an institution that are active and supportive in issues such as working conditions, gender equality and diversity and study and work environment

Ämnesbeskrivning

Distributed computer systems include computer systems and mobile networks that enable mobility, ambia, security and interactivity for computers, data, software and users.

Projektbeskrivning

The project is carried out in collaboration between LTU in Sweden, North University in Norway and Kajani University in Finland. The scientific work focuses on information and communication technology (ICT / IoT) architectures for data collection, data processing and data analysis to extract information from complex contexts through statistical models, machine learning methods (ML) and artificial intellity This includes work with performance, scalability and resistance in platform architectures and algorithm performance within AI / ml. The thematic areas treated are the new smart care solutions and e-health processes. This includes activity recognition using sensors and IOT infrastructure, identification / detection of deviations, prediction / forecasting human behavior and digital tools to improve care processes. The work is done in close cooperation with municipalities and industrial partners, especially small and medium-sized enterprises (SMEs)

Tasks

You will read doctoral courses while conducting thesis work in the form of literature studies, scientific articles, design studies, design and programming tasks, theory development, analyzes and presentations. The research area is interdisciplinary and has both scientific and applied character. The scientific work is presented in English in articles in scientific journals and at international conferences.

Qualifications

Authorization for studies at postgraduate level, the person who has completed a degree at the advanced level has completed price requirements on at least 240 higher education credits, at least 60 High school credits at advanced level, or in any other way within or outside the country acquired We are looking for a skilled, analytical and motivated colleague that can conduct advanced research both independently and in cooperation with others in our research group. You should have good knowledge of software development and computer science and good ability to communicate orally and in writing in English. Further knowledge in mathematics, ICT / IoM architectures and Swedish is merit. Even previous research experience and publications are qualifying.

Selection among applicants who meet the requirements must be made with regard to their ability to assimilate education. LTU's local guidelines in admission scheme for postgraduate education must also be applied. When choosing for postgraduate education in distributed computer systems, the following selection criteria apply: (a) good knowledge of English; b) Good knowledge of software engineering; c) independently push the work ahead; d) Cooperation capacity; f) analyze and work with complex issues.

For further information on specific doctoral education see: http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd

Information

The doctoral student is time-limited to four years full-time studies with placement in Skellefteå. As a doctoral student, you can to a limited extent (at most 20 %) perform institution work, such as teaching and administration, which extends the employment with the corresponding time. Officer: Skellefteå. Access as per agreement.

The salary is determined according to the current pay ladder applied to doctoral students at Luleå University of Technology. For each service, a preliminary https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Informationomlonetransparens is based on its requirements, responsibility and market situation.

For further information, you are welcome to contact

Assistant Professor Saguna Saguna, 0910-585385, Mailto: saguna.saguna@ltu.se

Professor Superior Subject representative Christer Åhlund, 0910-585331, Mailto: christer.åhlund@ltu.se.

https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Fackligakontaktpersoner

Application

The application is made via Luleå University's recruitment system. We prefer to seek the position via the application button below where you attach personal mail and CV / resume and copies of verified diplomas. Copies (at most 3) of previously published scientific articles can be attached. Please note your application with the reference number below. Both the application and diploma must be written in Swedish or English.

Reference number: 4702-2026

The end of the application: 21 October, 2026