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used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters. Applications will be
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in relation to the department – internally as well as externally – and to contribute positively to the department’s working environment, everyday life and ongoing operation. More information about our
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• Certified copy of diploma or expected date of graduation (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found
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Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read
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about the network as a whole, its scientific content, and the application and selection process here . All positions are fully funded, with very competitive salaries. More information on funding from
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2750 1476, email: jerome@sdu.dk . If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information
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candidate’s research is to analyse work processes and robotic tasks from a manufacturing perspective to optimise production lines. The candidate will gain theoretical knowledge and practical aspects of product
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired