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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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educational development initiatives. As part of the PhD programme, the candidate will also undertake teaching responsibilities, primarily contributing to first-year engineering PBL courses and supporting
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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application, the detailed project plan for the postdoc project will be finalized in collaboration with PI Associate Professor Astrid Oberborbeck Andersen and Co-PI Sandra Cassotta. In the design of a project
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an active and dedicated role in the teaching activities of the APMS section and to engage fully in the department’s educational programmes. You will teach and supervise students at bachelor, master and
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governance. The successful candidate will contribute to teaching in the Department’s bachelor’s and master’s programmes and participate actively in the collaborative and interdisciplinary research environment
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participate in activities supporting future research initiatives. Limited teaching within the area and in other study programmes at the University can be expected Qualification requirements Appointment as
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Signal Processing for Detection & Estimation as per August 1, 2026, or as soon as possible thereafter. The position is available for...
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Hardware & Measurement Platforms as per August 1, 2026, or as soon as possible thereafter. The position is available for a period of...
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and