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distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab, including contributions to publications or significant open
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modeling Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python
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complexity to expand parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for
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simulation-based models (e.g., physics-based, network-based, agent-based, or stochastic simulations) for analysis, experimentation, or decision support. Desired Skills & Attributes Required Proficiency
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Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The PhD student will contribute to a large industrial research collaboration with
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‑ based, network ‑ based, agent ‑ based, or stochastic simulations) for analysis, experimentation, or decision support. Desired Skills & Attributes Required Proficiency in Python and familiarity
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computing, sustainable software systems, and AI-assisted software development. More information about the SustainAI research group is available at: https://sustainai.sdu.dk/ We encourage applications
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AI, computer vision, multimodal models, natural language processing, and other domain-specific models. • Familiarity with Linux based research computing environments including command line tools and
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complexity to expand parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for
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and resource-adaptive VLA models . A central question is whether an embodied agent can estimate the reliability of its own perception and reasoning, then use that information to adjust how it