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Postdoc: use RL/whole-body MPC and multibody simulation to model human balance & step recovery in public transport; develop validated, parameterized human models.
Develop trustworthy AI for cellular radio localization/sensing: hybrid physical models+ML, robustness to shifts/adversaries, uncertainty quantification & integrity monitoring. 2-year postdoc.
Research LLM agents to automate deep learning & software dev: hypothesis→experiments, code gen/debug/test, publish with industry. Requires PhD, strong ML & Python (PyTorch/JAX).
2-year postdoc: develop catalysts & run high-pressure HDO reactor experiments for sustainable biofuels; AI/ML-assisted data analysis; supervise students. Based in Gothenburg.
Postdoc in Gothenburg, Sweden developing dynamic synthetic populations & mobility digital twins for resilient/equitable transport under disruptions. ABM, networks, mobility data, generative models.
2-year postdoc: study trust-calibrated AI decision-making in supply chain/transport collaboration. Use mixed methods + basic coding; publish, work with industry, supervise/teach.
2-year postdoc in PRONTO: model public transport networks via stochastic PDEs. Interdisciplinary applied math/control/data science; publish and present, optional teaching.