PhD and Postdoc Positions in Data-Driven Simulation and Digital Twins

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The research group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute is seeking highly motivated PhD and Postdoctoral researchers to work at the intersection of data-driven modeling and simulation, formal methods, and Digital Twins. Our research addresses fundamental and applied challenges in automated Digital Twin creation, combining operational data with expert knowledge to enable explainable, reliable, and decision-ready models for complex cyber-physical systems. Application domains include manufacturing systems, energy systems, and smart infrastructures, with a strong focus on reliability, efficiency, and system optimization. Several positions are embedded in Horizon Europe–funded projects (DMaaST, ONE4ALL), where SYDSEN leads work packages on advanced Digital Twin methodologies for manufacturing systems. Candidates will work on internationally visible research topics and collaborate closely with academic and industrial partners across Europe. Research Topics (examples) . Research topics will be shaped by the scope of ongoing national and Horizon Europe projects (e.g., DMaaST, ONE4ALL) and the candidate’s profile. Possible topics include, but are not limited to: . • Data-driven and hybrid (data + expert knowledge) simulation models . • Digital Twin architectures and automated model extraction . • Process mining–based model discovery and simulation integration . •