TU Delft

Postdoc: Validering af en digital tvilling til evaluering af emissionsreducerende strategier for indenrigsskibsfart

Bliv Postdoc hos TU Delft i Holland og valider en digital tvilling til vurdering af emissionsreduktion i indenlandsk skibsfart. Rollen kræver agentbaseret modellering og big data-analyse. Få fleksibel arbejdstid, god pensionsordning og flyttestøtte.
TU Delft
TU Delft
Delft, Holland På stedet Fuldtid UTC+01:00

TU Delft

Virksomhedsoverblik

Navn

TU Delft (Tekniske Universitet Delft)

Hovedkontor

Delft, Holland

Grundlagt

1842

Størrelse

Omtrent 19.000 studerende og mere end 3.300 forskere (kilde: linkedin.com).

Hvad De Gør

TU Delft er den største og ældste offentlige tekniske universitet i Holland, der fokuserer på uddannelse og forskning inden for forskellige teknologiske områder. Universitetet har et stærkt fokus på energiforskning, især inden for vedvarende energi. Electrical Sustainable Power (ESP) Lab fungerer som et center for tværfaglig forskning i fremtidige digitale energisystemer med en høj andel af vedvarende energi (kilde: tudelft.nl). Forskningsområderne omfatter blandt andet integration af vedvarende energikilder i elnettet, energilagring og udvikling af innovative teknologier som brintkonversion og geotermiske systemer.

Projekter & Resultater

TU Delft har mange forskningsinitiativer og projekter, der er relevante for vedvarende energi. Eksempler herpå er RELEASE-projektet, der fokuserer på storskala energilagring via elektrochemisk konversion, og TradeRES-projektet, der undersøger markedsdesign for 100% vedvarende energisystemer (kilde: tudelft.nl). Derudover koordinerer Wind Energy Institute (DUWIND) vindforskning på tværs af seks fakulteter med fokus på aerodynamik, materialer og optimering af turbiner.

Seneste Udviklinger

For nylig har TU Delft lanceret flere initiativer, herunder 24/7 Energy Lab, der undersøger lokale kulstoffri energisystemer til bygninger, og Floating Renewables Lab, der fokuserer på anvendelsen af offshore vedvarende energi (kilde: tudelft.nl). Disse laboratorier er en del af universitetets bredere bestræbelser på at bidrage til energitransitionen og bæredygtig udvikling.

Arbejder Hos TU Delft

Hos TU Delft er der forskellige roller og afdelinger, der spænder fra videnskabeligt personale til administrativt personale. Universitetet tilbyder et stimulerende arbejdsmiljø med stærkt fokus på forskning og innovation. Medarbejdere drager fordel af en kultur, der fremmer samarbejde og tværfaglig forskning, samt professionelle udviklingsmuligheder gennem deres Learning for Life-platform, der tilbyder kurser om integrerede energisystemer og vedvarende energiteknologier (kilde: tudelft.nl).


Sidst opdateret den feb. 23, 2026 | Rapporter et problem

Job Description

The postdoctoral research is part of the NWO project "PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)", which aims to develop breakthrough action perspectives and sustainable business models for all parties in the inland shipping chain, contributing to the transition to emission-free inland shipping. The main objective of the project is the evaluation of zero-emission strategies, the effectiveness of policies and technologies, and the assessment of the consequences of their implementation on the inland shipping system.

One aim of the PATH2ZERO project is to translate research outcomes into practice, so that end users can make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway transport system is to assess the efficiency of proposed solutions for emissions reduction in inland waterway transport. Three main aspects are regarded as vital components of the digital twin: the individual vessels, fleet and its operations, and the infrastructure.

As these components require a detailed representation within a large-scale transport system, a meso-scale agent-based approach has been selected as a suitable basis for the digital twin. This enables the assessment of potential interventions, ranging from the application of new technologies to individual vessels to policy measures that are implemented for an entire shipping corridor, or various bunker infrastructure strategies in the network. In addition, the impact of the feasible interventions can be evaluated, ranging from the individual ship level and its emissions to the network level and the aggregated emissions in an entire area, or the impact on the logistics chain.

For validating the digital twin, real-world data sources (AIS data, hydrodynamic data, infrastructure data, etc.) will be used in combination with already existing tools for maritime traffic simulation (e.g., OpenTNSim, which is being developed at TU Delft), energy consumption estimates, and emission algorithms. The relevant processes at the individual vessel level can be modelled in detail, and their performance can be tracked in time and space. Corridor scale effects will be simulated by aggregating the results of multiple vessels that together represent the corridor's traffic.

Three regions will be modelled as areas of interest: the Rotterdam - Basel corridor (an open waterway, that is vulnerable to high and low discharge events), the Rotterdam - Antwerp / Gent corridor (a closed waterway that includes various locks and short-sea shipping), and the larger Port of Rotterdam region (a region that includes both sea-going and inland vessels in an area subject to currents and tides).

While the scope of this research focuses on validating a digital twin using operational data from inland vessels, it is expected to involve close collaboration with project stakeholders and researchers within the project. This collaboration will contribute to the quantitative assessment of emission reduction strategies, paving the way toward zero-emission inland shipping.

Job Requirements

We are looking for a candidate with an interdisciplinary track record who is able to integrate engineering, environmental, and social science knowledge into a new framework for zero-emission inland shipping. This position requires outstanding skills in modelling and working with big datasets. In addition, the applicants should have:

  • PhD diploma in Transportation, Logistics, Civil Engineering, Mechanical Engineering, Maritime Engineering, or any other related field.
  • Experience with agent-based modelling is essential.
  • Experience with big data analytics, Python, and an affinity for acquiring new skills in this area.
  • Ability to collaborate with both scientific and industrial partners.

Conditions of Employment

  • Duration of contract is 2 years. Temporary external finance.
  • A job of 38 hours per week.
  • Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
  • An excellent pension scheme via the ABP.
  • The possibility to compile an individual employment package every year.
  • Discount with health insurers on supplemental packages.
  • Flexible working week.
  • Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
  • Plenty of opportunities for education, training and courses.
  • Partially paid parental leave.
  • Attention for working healthy and energetically with the vitality program.

Will 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.

Additional Information

The supervisory team consists of Prof. Mark van Koningsveld and Dr. Alex Kirichek. For more information about this vacancy, please contact Dr. Alex Kirichek (Associate Professor at the Faculty of Civil Engineering and Geoscience, at TU Delft) [email protected]

Application Procedure

Are you interested in this vacancy? Please apply no later than 17 August 2026 via the application button and upload the following documents:

  • CV
  • Motivational letter

You can address your application to Alex Kirichek.

Please note:

  • You can apply online. We will not process applications sent by email and/or post.
  • As 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.
  • Please do not contact us for unsolicited services.

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Om rollen

13. august 2026

13. august 2026

Fuldtid

På stedet

Skole

Vandkraft, Brint

TU Delft

tudelft.nl

  •  Delft, Holland

Postdoctoral level with a PhD

UTC+01:00