Postdoc position in Electronic systems

Organisation/Company

Luleå University of Technology

Research Field

Other

Researcher Profile

First Stage Researcher (R1)

Application Deadline

6 May 2026 - 12:00 (UTC)

Country

Sweden

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students.

The research group in Electronic Systems at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement technology, and electromagnetic compatibility. We are active in education as well as in several externally funded research projects carried out in collaboration with industry. We have access to a number of laboratories, including a shielded chamber for measurements of the effects of electromagnetic exposure and radiation. To strengthen our research in the field of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment.
Subject description
Electronics systems include electronics design, measurement technology and electromagnetic compatibility for control, monitoring and instrumentation of technical processes and systems, with close connection to applications and applied research.
Project description
Your work will be embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications. These applications include, but are not limited to, anomaly detection, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting for real-world interference, noise, and channel variability.
You will collaborate with other members of the group who will support the practical deployment of the developed AI models on portable and embedded platforms, enabling real-time processing and validation under realistic operational conditions. This group work will bridge the gap between theoretical research and real-world applicability, ensuring that developed solutions are not only innovative but also scalable and implementable in field scenarios.
By integrating both software and hardware considerations, this project aims to advance the state-of-the-art in spectral monitoring and signal intelligence, providing significant contributions to the broader fields of wireless communications, IoT, and beyond. You will actively develop and gain hands-on experience with high-performance AI modeling, embedded system implementation, and end-to-end signal analysis workflows, positioning them at the forefront of AI-driven research in radiofrequency spectral monitoring.
Duties
The work will mainly include research connected to the project described above. Supervision of students and active participation in our fundraising activities will be included in the tasks with a maximum of 20% of working hours.
Qualifications
To qualify for this position, you must have a Ph.D., a doctoral degree or a foreign degree corresponding to a Ph.D. or doctoral degree in electrical engineering, computer science, engineering mathematics or related subjects. Persons who have completed a doctoral degree no more than three years before the end of the application period are prioritized. You must have very good skills in the English language, both orally and in writing. Experience on AI techniques applied to electrical engineering applications is an advantage. Also experience with radiofrequency signal generation, measurements, and processing is an advantage.
Further information
Full-time fixed term employment for two years with placement in Luleå. Starting: by agreement.
For further information about the position, please contact Professor Francesco Ferranti, +46 920-49 2828, francesco.ferranti@ltu.se
Union representatives:
SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se
OFR-S Marika Vesterberg, (+46) 920-49 1721 marika.vesterberg@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: May 6, 2026 
Reference number: 2813-2026

Website

https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba…

Research Field

Agricultural sciences » Other

Education Level

PhD or equivalent

Languages

ENGLISH

Level

Excellent

Research Field

Other

Years of Research Experience

1 - 4

Number of offers available

1

Company/Institute

Luleå University of Technology

Country

Sweden

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