Uppsala University, Department of Electrical Engineering
The Department of Electrical Engineering conducts successful research and education in digitalization and electrification including renewable energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with around 170 employees.
The position will be at the Division of Signals and Systems, at the Department of Electrical Engineering. Here you will find a friendly work environment and strong research projects. The Division of Signals and Systems collaborates with Swedish companies – public and private – and stakeholders in the different fields of research. We look forward to receiving your application. Join us and build the future with us!
Modern systems increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often dynamic and non-stationary. As a result, the performance of models trained offline tends to deteriorate when exposed to new signal conditions, previously unseen patterns, or changing system characteristics.
This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as new data becomes available, while preserving previously acquired knowledge. A key objective is to design signal representations and learning mechanisms that enable stable adaptation without forgetting previously acquired knowledge.
We will study collaborative learning scenarios, where multiple devices or sensors jointly process and learn from data streams. Such settings introduce additional challenges, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims to develop learning methods for such collaborative continual learning scenarios. The resulting methods will be analyzed theoretically and validated on representative datasets, with an emphasis on generalization and scalability.
We have an exciting work environment designed by the doctoral student and the research team together. The doctoral student will be supervised by at least two supervisors. The Department of Electrical Engineering also offers a salary supplement in accordance with the local guidelines for doctoral students at Uppsala University.
Read more about our benefits and what it is like to work at Uppsala University.
The main task of a doctoral student is to devote to the doctoral education, which includes both participation in research projects and doctoral education courses. The duties also include participating in teaching and other institutional tasks to a maximum of 20% of the working time.
To meet the general entry requirements for doctoral studies, you must:
We are looking for candidates with
Salary: Individual salary setting. Starting date: 1 September 2026 or as agreed. Type of employment: Fixed-term employment in accordance with Chapter 5, Section 7 of the Higher Education Ordinance. Scope of employment: 100%
Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.
Please use the link below. The application must contain:
For further information about the position, please contact: Ayca Ozcelikkale, ayca.ozcelikkale@angstrom.uu.se
Please submit your application no later than 2026-05-08. UFV-PA 2026/1113.
Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden's most exciting workplaces.
Read more about our benefits and what it is like to work at Uppsala University.
The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment.
Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University's recruitment system.
Tagged as: Life Sciences
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