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(Kingdom of the) [map ] Appl Deadline: 2025/06/30 11:59PM (posted 2025/06/11, listed until 2025/12/11) Position Description: Position Description Joint-PhD Position on Advancing Machine Learning Methods
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, the research will focus on how ESG indicators can be meaningfully embedded into portfolio assessments and risk models. For instance, should a construction firm that actively reduces its environmental impact be
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approach is to apply foundational techniques grounded in logic, semantics, and verification. This work takes place within the CYCLIC project: Cyclic Structures in Programs and Proofs, a collaboration among
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The candidate will be embedded in the Theory cluster at the Leiden Institute of Advanced Computer Science, supervised by Dr. Tobias Kappè and Prof. Dr. Marcello Bonsangue from the System Modelling and Analysis
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learning solutions as well as the challenges of using neural networks as representations of quantum states. You will be given an increasing amount of scientific freedom supported by structured mentoring
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understanding how the structure and functioning of epifauna communities affects plankton in water passing trough offshore wind farms (OWFs) in the North Sea. Key responsibilities: Investigate how community
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adaptation), meaning that candidates are welcome to propose a specific topic of their choice, or pick from a variety of research topics advanced by the supervisor. The project will use a diverse toolkit of
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responsibilities include: conducting experimental research on the BLIB, using advanced physical chemistry techniques; designing and building setups with lab equipment and 3D printing; maintaining an electronic lab
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of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
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-world networks with different structural properties. During the PhD, the successful candidate will work on several subprojects and analyse random graph models and complex networks by probabilistic tools