PhD Student in Computer Science

Luleå University of Technology is experiencing strong growth with world-leading expertise in several research areas. We shape the future through innovative education and groundbreaking research results, and with a focus on the Arctic region, we create global societal benefits. 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 2 billion SEK per year. We currently have 1,500 employees and 17,900 students.

In the coming years, multi-billion investments will be made in Norrbotten and Västerbotten in large projects aimed at a more sustainable society both nationally and globally. Luleå University of Technology is involved in several of these highly relevant research projects and the societal transformation that follows. We have a wide range of educational programs to match the skills that are in demand. We hope you want to help us build the sustainable companies and societies of the future.

The positions are a joint initiative between the Department of Computer Science at the Department of Systems and Space Technology at Luleå University of Technology (LTU) and Skellefteå Municipality. You will work within a driven team conducting research in software systems, distributed systems, network technologies, and advanced data analysis, as well as knowledgeable domain specialists at Skellefteå Municipality.

We Offer

The opportunity to pursue a PhD in a dynamic, international research environment in collaboration with Skellefteå Municipality and leading universities worldwide, as well as leading industry in the field. Doctoral education at an institution that is active and supportive in matters concerning, for example, working conditions, equality, diversity, and study and work environment.

Subject Description

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

Project Description

The projects are conducted as a collaboration between LTU and Skellefteå Municipality, where the scientific purpose is to work with information and communication (ICT/IoT) architectures for data collection, data processing, and data analysis to extract information from complex contexts through the application of 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 future new mobility solutions, connected/smart buildings, and eHealth, which includes activity recognition, anomaly detection, and prediction. The project will be conducted at LTU's campus in Skellefteå and Skellefteå Municipality. Admission to doctoral education takes place at Luleå University of Technology.

Job Responsibilities

You will take courses while performing dissertation work in the form of literature, article, and 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. Teaching and other duties within the department and/or institution may also occur for doctoral students.

Qualifications

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

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 and ICT/IoT architectures and the Swedish language is meritorious. It is also an advantage if you have previous research experience and publications.

To succeed in your doctoral studies at LTU, you need to be goal-oriented and persistent in your work. We are looking for a talented, analytical, and motivated colleague who can perform advanced research both independently and in collaboration with others in our research group.

In the selection of candidates, the ability to:

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

The candidate must acquire knowledge of the Swedish language in speech and writing before completing the doctoral program to be ready to continue their career within Skellefteå Municipality.

Information

The doctoral position is limited to four years of full-time studies. As a doctoral student, you may perform limited institutional duties, up to 20%, in areas such as education and administration, which extends the employment accordingly. Place of employment: Skellefteå.

The salary is set according to the established salary scale for doctoral students at Luleå University of Technology.

For further information, please contact:
Christer Åhlund, professor and subject representative, 0910-58 5331, [email protected]
Saguna Saguna, associate professor, 0910-58 5385, [email protected]

Union representative:
SACO-S Diana Chroneer, 0920-49 2037 [email protected]
OFR-S Lars Frisk, 0920-49 1792 [email protected]

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

Application

We prefer that you apply for the position via the application button below, where you attach a personal letter and CV/resume, as well as copies of verified degree certificates. Please label your application with the reference number below. Both the application and degree certificates must be written in Swedish or English. Copies (up to three) of previously published scientific articles may be attached.

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