PhD Student in Automatic Control with focus on sensor fusion for distributed situational awareness
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The advertised positions will be within the Competence Center SEDDIT (Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit.
The focus of this specific PhD project is to explore methods for distributed state estimation in large and heterogeneous sensor networks, with particular emphasis on statistical model‑based approaches. As sensor systems scale up to vehicle fleets, drone swarms, and large‑scale environmental monitoring, traditional centralized solutions quickly become insufficient due to communication constraints, computational demands, and sensitivity to failures in the central node. The work includes developing scalable methods for information compression, robust detection of faulty or malicious nodes, and principles for handling uncertain or varying sensor quality. The goal is to enable efficient, robust, and high‑quality situational awareness in complex and dynamic networks, thereby laying the foundation for future autonomous and data‑driven systems.
The specific project is described here: https://seddit.se/project/robust-large-scale-estimation.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Your qualifications
You have a master’s degree in electrical engineering, engineering physics, mechanical engineering, computer engineering, engineering mathematics or have completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the subjects mentioned above. Alternatively, you have gained essentially corresponding knowledge in another way. The degree requirement must be met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed.
Furthermore, you must be eager to learn new things and explore the unknown, and you pay attention to details. You must also have strong communication skills in English, both in writing and orally.
Your workplace
The Division of Automatic Control is successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world.
Read more about the division here: https://liu.se/en/organisation/liu/isy/rt. For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy.