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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.
Lead cryogenic experiments to trim/characterize Josephson junctions in superconducting qubits; analyze degradation & materials links. PhD + strong lab experience; Python/MATLAB helpful.
2 postdoc roles in functional programming & formal methods: PL design/semantics, type systems, theorem proving, verified array processing. 2-year full-time + 1-year option; teaching 20%.
Postdoc research on coupled transport–energy models for EV charging & grid resilience. Build high‑resolution simulations and deep/RL optimization; publish, collaborate, teach 5–15%.
Develop trustworthy AI for cellular radio localization/sensing: hybrid physical models+ML, robustness to shifts/adversaries, uncertainty quantification & integrity monitoring. 2-year postdoc.
Postdoc: green synthesis of conjugated polymers/OMIECs for wearable electronics; develop flow chemistry; polymer characterization (NMR, chromatography). PhD required.
Postdoc researching mobility service use among car/non-car owners. Mixed-methods: survey stats + interviews with Gothenburg residents; interdisciplinary & stakeholder work. 2-year full-time, extendable.
Develop generative AI & active-learning workflows to discover optoelectronic energy materials using DFT/ML potentials. Python/ML skills; collaborative postdoc, 2 years.
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).
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 on sodium-ion batteries for transport: performance testing, teardown and electrochemistry; analyse data, support modelling, publish. PhD in relevant field required.
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.
Develop route-specific simulations and LCA for electrified coastal/inland vessels. Requires PhD, Python/Matlab, ship energy systems & hydrodynamics. 2-year full-time, Gothenburg.
2-year postdoc in PRONTO: model public transport networks via stochastic PDEs. Interdisciplinary applied math/control/data science; publish and present, optional teaching.