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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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sciences in our research. Qualifications The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data
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your bachelor, master and PhD courses. For more information about this function, please contact dr. K.E. Konrad, email k.e.konrad@utwente.nl , phone: +31 53 489 3906. Website for additional job details
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societal impact goals through integrated collaboration between academic disciplines and societal stakeholders. The challenge Design and implement training programs for PhD candidates and consortium members
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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, and email addresses of at least two references; a copy of your PhD certificate, or a letter from your university stating when your defence will take place. Additional comments For more information
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profile: A PhD in AI, preferably at the interface of information retrieval and machine learning; Research background in generative information retrieval, with publications in the leading venues relevant
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community). What we ask of you We are looking for enthusiastic and curious candidates who meet the following profile: A PhD in AI, preferably at the interface of information retrieval and machine learning
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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational