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LLM-based scientific agents. In the project, you will (i) identify potential sources of uncertainties in AI agents, (ii) investigate ways to assess the quality of uncertainty estimates by standard
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the quality of uncertainty estimates by standard methods for LLMs, particularly with deep generative models, and (iii) develop a benchmark for uncertainty quantification in LLM-based scientific agents. The main
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planning tool which models how autonomous agents make decisions in an uncertain world. This project focuses on designing systems of interaction between agents in order to achieve complex, multi-objective
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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and optimized process outcomes. Other tasks within additive manufacturing may also occur, such as research related to agent-based AI and Design for Additive Manufacturing (DfAM). The person we need We
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Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Stockholm, Sweden The European Food Safety Authority (EFSA), based in Parma, Italy is looking
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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that you have: experience in reinforcement learning experience in agent-based modelling and simulation ability to work independently and good interpersonal skills previous experience of working with
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range of different scientific methods, from energy system modelling and agent-based modelling, to remote sensing, econometrics and surveys. Our aim is to advance challenge-driven scientific excellence by