Postdoc position in Dependable Communication and Computation Systems

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 of Computer Science at the Department of Computer Science, Electrical and Space Engineering conducts research in computer science, software design, machine learning, deep learning, data science and neuromorphic systems. The division is involved in several major European projects as well as national projects funded by SSF (Swedish Foundation for Strategic Research) and the Swedish Research Council.

Subject description
The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems.

Project description
You will work on an exciting scientific project supported by the Swedish Research Council. The overarching goal is to advance AI algorithms for increased energy efficiency and explainability. In your work, you will research state-of-the-art neural architectures and develop new methods for significantly improved training time, conceptualization of learned representations, and inclusion of context in the learning processes. The new algorithms you develop will be suitable for implementation on edge devices, including new AI-adapted computer architectures with in-memory computing and neuromorphic microprocessors (Intel’s Loihi).

Duties
The main tasks for a postdoctoral researcher are primarily research related. The position involves research in one of the most important subjects in computer science. As a postdoc, you will contribute to research and publication activities and collaborate within the subject's broad industrial and academic network through national and international collaborative projects. Teaching and pedagogical development work may be included in the tasks, with a maximum of 20% of working time. You will also participate in applications for future projects.

Qualifications
To be eligible for employment as a postdoc, a doctoral degree in computer science with a focus on machine learning and artificial intelligence, or an equivalent foreign degree in the field is required. We are looking for an individual with strong programming skills (Python, Matlab, AI frameworks). Participation in programming competitions is definitely advantageous. You must have a solid university-level mathematical skills (probability theory, statistics, calculus, geometry, Fourier transform). The skills will be tested online before the interview. You have a positive attitude and good communication skills.

Further information
Full-time fixed term employment for two years with the possibility of extension for one year with placement in Luleå. Starting: according to agreement.

For further information about the position, please contact Professor Evgeny Osipov,
(+46)920-49 1578, evgeny.osipov@ltu.se

Union representatives:
SACO-S Kjell Johansson, (+46)920-49 1529 kjell.johansson@ltu.se
OFR-S Lars Frisk (+46)920-49 1792 lars.frisk@ltu.se

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

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.

Closing date for applications: January 30, 2024
Reference number: 5647-2023