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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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open to embrace new approaches! Together with industrial leaders and an extensive network of clinical institutions, we cover the entire trajectory from modelling a given subject population to
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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forefront of neuromechanics and assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable
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/GNC systems has traditionally relied on model-based techniques, which in turn, have their foundations in a solid body of mathematical proofs (such as guarantees of stability and robustness
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
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populations, and aims to incorporate novel methodological advances to improve our understanding of these processes and point towards potential interventions. EQUICARES is a four year EU Horizon project