Postdoc in Trustworthy Multi-Model Optimization for Railway Timetabling (ICAI Robust)

ppICAI Robust RAIL Lab is looking for a postdoctoral researcher to help bridge that gap, along two connected directions. /p h3Job description /h3 pThe Dutch railway network is approaching its capacity limits, and the timetable that keeps it running is one of the most consequential optimization problems in the country — spanning many orders of magnitude in detail, from macroscopic capacity-planning down to millisecond-level microscopic simulation. No single algorithm spans that whole range on its own. /p pICAI Robust RAIL Lab — a joint initiative of TU Delft, Utrecht University, and NS/ProRail under the NWO LTP-ROBUST programme — is looking for a postdoctoral researcher to help bridge that gap, along two connected directions. /p ol liTrustworthy multi-model optimization. Combine models at different levels of abstraction — macroscopic capacity planning, mesoscopic scheduling, microscopic simulation — into a single, computationally tractable pipeline, without sacrificing trust in the result. Draw on recent work on self-certifying optimization proxies — fast machine learning surrogates that carry their own provable optimality guarantee, falling back to an exact solver only on the instances that need it — and on the broader idea of building a relaxation that's fine-grained exactly where a query needs it and coarse elsewhere. This hybrid, multi-model philosophy motivates decision support in other domains as well. /li liTimetabling for a multi-operator railway. ProRail's system for allocating rail capacity is shifting from an operator-request model to one where train paths are effectively "sold" to multiple, competing railway operators — turning capacity allocation into a genuine market-design problem. How do you allocate scarce train paths fairly, efficiently, and strategy-proofly across operators who each hold private information about their own needs? This is a live mechanism-design question, not a hypothetical one: it echoes the FCC's landmark two-sided spectrum incentive auction. /li /ol pYou’ll work with researchers in the Algorithmics section, headed by Mathijs de Weerdt, contacts at ProRail and NS, and some of the lab's researchers (PhD tracks on hub planning, real-time rescheduling, crew rostering, energy-efficient operation) — with freedom to shape your own research agenda within this scope. /p pWhat we offer: a postdoctoral position for 16 fte months (working days per week and exact duration negotiable), embedded in a well-resourced, industry-connected lab. /p h3Job requirements /h3 pWe’re looking for: a recent PhD graduate in optimization, operations research, machine learning, or a closely related field, with strong mathematical/algorithmic grounding and a genuine interest in working at the interface of theory and a large, real-world system for sustainable transport. /p h3Conditions of employment /h3 ul liDuration of contract is 16 months. Temporary. /li liA job of 32-40 hours per week. /li liSalary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. /li liAn excellent pension scheme via the ABP. /li liThe possibility to compile an individual employment package every year. /li liDiscount with health insurers on supplemental packages. /li liFlexible working week. /li liEvery year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget. /li liPlenty of opportunities for education, training and courses. /li liPartially paid parental leave /li liAttention for working healthy and energetically with the vitality program. /li /ul pWill you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. /p h3Additional information /h3 pInterested? Get in touch to discuss the position with Prof. Mathijs de Weerdt /p h3Please note: /h3 ul liYou can apply online. We will not process applications sent by email and/or post. /li liAs part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest.You can find more information about this assessment on our website about knowledge security. /li liPlease do not contact us for unsolicited services. /li /ul /p #J-18808-Ljbffr