Ph.D. Candidate in Software Systems and Distributed Systems

Luleå University of Technology is experiencing strong growth with world-leading competence in several research areas. We shape the future through innovative education and groundbreaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national, and regional companies, public actors, and leading universities. Luleå University of Technology has a total turnover of SEK 2 billion per year. We currently have 1,500 employees and 17,900 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.

About the Position

The positions are a joint initiative between the Department of Systems and Space Engineering, division of Computer Science, at Luleå University of Technology (LTU) and the municipality of Skellefteå. You will work within an active team conducting research in software systems, distributed systems, network technologies, advanced data analysis, and knowledgeable domain experts at the municipality of Skellefteå.

We Offer

The opportunity to do a Ph.D. in a dynamic, international research environment in collaboration with the municipality of Skellefteå and prominent universities worldwide, as well as leading industries in the area. Doctoral studies at an institution that is active and supportive in matters such as working conditions, equality, and diversity, as well as study and work environment.

Subject Description

Pervasive and mobile computing address distributed systems and mobile networks which enable mobility, ubiquity, security, and interactivity of computers, data, software, and users.

Project Description

The projects are run as a collaboration between LTU and the municipality of Skellefteå, where the scientific work targets information and communication (ICT/IoT) architectures for data collection, data processing, and data analysis to extract information from complex contexts through statistical models, machine learning (ML) methods, and artificial intelligence (AI). This includes working with performance, scalability, resilience regarding platform architectures, and algorithm performance for AI/ML. The thematic areas addressed are the future's new eMobility solutions, connected/smart properties, and eHealth, which includes activity recognition, anomaly identification/detection, and prediction/forecasting.

Responsibilities

You will take Ph.D. courses while performing thesis work in the form of, for example, literature reviews, articles, design studies, construction and programming tasks, theory development, analyses, and presentations. The research area is multidisciplinary and of both scientific and applied nature. Scientific work is presented in English in articles in scientific journals and at international conferences.

Qualifications

To be admitted to doctoral studies, you must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of at least 240 higher education credits, of which 60 credits at the advanced level, or in some other way within or outside the country acquired essentially equivalent knowledge.

You should have good knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/IoT architectures, and the Swedish language is a merit. It is also meriting if you have previous research experience and publications.

We are looking for a talented, analytical, and motivated colleague who can perform advanced research in our research group alone and in collaboration. When selecting the applicants, we will consider the ability to:

• Independently push your work forward;
• Collaborate with others;
• Have a professional approach;
• Analyze and work with complex issues.

The candidate must have acquired knowledge of the Swedish language in speech and writing before the postgraduate program is completed in order to be ready to continue their career within Skellefteå Municipality.

Further Information

The doctoral appointment is time-limited to four years of full-time studies in the location of Skellefteå. As a doctoral student, you may, to a limited extent (maximum 20%), perform departmental service within, e.g., teaching and administration, which extends the employment for a corresponding period.

The salary is set based on the established salary scale for Luleå University of Technology doctoral students.

For further information, please get in touch with:
Christer Åhlund, Chaired Professor, (+46) 910 58 5331, [email protected]
Saguna Saguna, Associated Professor, (+46) 910 58 5385, [email protected]

Union representatives:
SACO-S Diana Chroneer, (+46) 920-49 2037 [email protected]
OFR-S Lars Frisk, (+46) 920-49 1792 [email protected]

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

General information for applicants: https://www.ltu.se/ltu/Lediga-jobb/Sa-har-ansoker-du/Instruktioner-for-sokande-1.190708?l=en (https://www.ltu.se/ltu/Lediga-jobb/Sa-har-ansoker-du/Instruktioner-for-sokande-1.190708?l=en)

Application

We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter, and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

Reference number: 53-2025
Application deadline: January 28, 2025