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The Department of Electrical and Computer Engineering at Aarhus University is currently expanding. With an ambitious recruitment plan, the Department is encouraging and inviting applicants motivated
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processing, or spectroscopy. Familiarity with hyperspectral imaging or related optical imaging methods is an advantage. Strong programming skills in Python and/or MATLAB. Interest in applying machine learning
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well as curriculum development in our relevant educational programs. Depending on your capabilities, interests, and alignment with the organization’s needs, the position may include line management responsibilities
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. A dedicated full-time programme manager supports the course's coordination and delivery. Furthermore, you will facilitate and maintain meaningful collaborations with industry partners, industry
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qualifications at PhD level at the time of employment. During employment, the assistant professor will complete the Lecturer Training Programme . Employment will be in accordance with the collective agreement
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individuals. The department offers a wide range of courses and programs at bachelor, master and PhD levels across DTU's study programs. The department has 250+ employees with around half of the staff coming
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assistants to plan their days at the CoG together, so there will be app. two fixed days, where you will be at the CoG, but we are of course flexible in relation to exam periods etc. The employment is on
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Performing general administrative tasks We’re looking for someone who: Is enrolled in a higher education programme and has completed at least one year of studies Is organized, reliable, and detail-oriented Is
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computer science at QM. We also offer the opportunity to shape our educational programme to benefit from new developments in pedagogical approaches and content. We expect The candidates must possess research
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Development: Collaborate with our team to develop compelling and competitive grant applications to grant programs such as Horizon Europe, LIFE, CETPartnership or others depending on availability and relevance