12 algorithm-development-"St"-"St" PhD positions at University of Twente (UT) in Netherlands
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient numerical methods and strategies to solve the electromagnetic
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with cross-collaboration opportunities” (HARMONI). The project is led by IDENER (Spain) and has 13 participating organisations from 7 European countries. The overall aim of HARMONI is to develop a
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to develop decision-support tools for AI adoption; A 4-year fully funded position, plus benefits, training, and career development opportunities; Supervised by experienced scholars, embedded in the HBE section
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new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence requirements in conflict zones and other
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circular way can affect each other. While national strategies and missions give directions to address such grand societal challenges, local decisionmakers, such as municipalities and project developers, need
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of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure
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; BSS) in collaboration with the top clinical hospital Ziekenhuisgroep Twente aims to develop such a health condition monitoring system to assist patients’ recovery management and ultimately reduce the
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, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self-organization of active particles. Fabricate and characterize light-driven microswimmers. Use
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advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with