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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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already during the application period. After a preliminary interview, you may be asked to submit a 2-page research plan detailing the specific research questions you aim to address. Although this happens
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. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
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make the most of this unique opportunity. Applicants for doctoral researcher position must fulfill the admission criteria of the Aalto Doctoral Programme and, if chosen for a position, apply for, obtain
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, and implement whatever is most suitable. Possibility to take part in publications as a research engineer. Provide one-on-one and group research support from a software, programming, Linux, data, and
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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Participate in meetings to discuss the AQPU plan together with the team Help your peers in solving their challenges in reaching the milestones including the supervision of BSc theses and possibly of PhD and MSc
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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and citizen action. They will also contribute into teaching in the interdisciplinary Creative Sustainability master’s program, and preparation of research funding applications in the NODUS Sustainable
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good