Jobba Statligt

Postdoctoral position in Pervasive and Mobile Computing

  • Yrkesroll


  • Anställning

    Heltid, 6 månader eller längre

  • Lön

    Fast månads- vecko- eller timlön

  • Publicerad

    6 maj

  • Sök jobbet senast

    28 maj

Om jobbet

Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking 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 1.9 billion per year. We currently have 1,840 employees and 17,670 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.The division Computer Science at the Department of Computer Science, Electrical and Space Engineering conducts research in software systems, distributed systems and databases, mobile networks, digital service innovation and IoT-based communication.

We are now looking for a postdoctoral fellow who will work within a multi-disciplinary research group that conducts research around IoT architectures, blockchain, cloud/edge computing, and wireless access networks.

The position as postdoctoral fellow belongs to the research subject Pervasive and Mobile Computing.

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

You will work on projects focusing on IoT platforms, data gathering/analytics, and AI/ML, targeting the operations of big fleets of buildings for improved awareness and energy-saving measures. The position involves academic work with our industrial partners and the public sector.


The main responsibilities as a postdoctoral fellow consist of conducting research and teaching in order to qualify for future employment in academia.


We are looking for a skilled, analytical, and motivated colleague who can carry out advanced research independently and in collaboration with the rest of the research group.
To be eligible, you must have a PhD degree in Pervasive and Mobile Computing, Computer Science or an equivalent field. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification. Candidates who have been awarded a doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence. Applicants should be skilled in software development and applied computer science. It is advantageous if you have experience in the area described in the project description section.

Further information

Full-time fixed term employment for two years with placement in Skellefteå.

For further information about the position, please contact:
Christer Åhlund, Professor, 0910-585331
Saguna Saguna, Associate Professor,  0910-585385,
Kåre Synnes, Division Manager, 0920-491507

Union representatives:

SACO-S Kjell Johansson 0920-49 1529 
OFR-S Lars Frisk, 0920-49 1792


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. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below.

Final day to apply: 28 May, 2024
Reference number: 1985-2024


Individual salary

Lönetyp: Fast månads- vecko- eller timlön


Heltid/ Ej specificerat