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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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machine learning and advanced analytical approaches Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Show curiosity and a strong motivation for the subject
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educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. The appointment is to be
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, usually in the form of teaching and/or supervision duties. In this case, Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course
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mechanisms that integrate queueing theory, traffic modelling, machine learning, and network-performance prediction for improving latency, reliability and fairness to support mission‑critical services
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful
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to inspire and provide guidance to students, and potential to teach university-level courses about Stone Age Archaeology and within Archaeology more generally Interest and ability in leadership and
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throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire An inclusive working environment with ambitious colleagues