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two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming
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project aims to integrate societal impact assessment of transport solutions and policies with travel behavior models. Traditionally, these models and assessment methods are developed independently and
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include
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: Sustainable Development, Environmental Science and Engineering”, subject “Sustainability studies The chemical industry accounts for 5–6% of global greenhouse gas emissions, highlighting the need to phase out
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-6GSAT and 6G DICE. These projects aim to shape the next generation of wireless networks by developing energy-efficient, resilient, and cost-effective 6G infrastructures that integrate terrestrial and non
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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, the Software team develops and maintains the control systems, data acquisition software, and user interfaces that researchers rely on every day. We focus on increasing functionality and reliability across
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, developing LLM-driven models for decision-making under deep uncertainties. Supervision: Assoc. Prof. Zhenliang is proposed to supervise the doctoral student. Decisions are made on admission What we offer
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing
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innovative green chemistries . The main aim of this research project is to develop protein-based catalysts that are new to nature. The research area for the PhD student includes de novo protein design, AI