TU Delft

博士后:验证数字孪生以评估内河航运的减排策略

加入荷兰代尔夫特理工大学,担任博士后,验证用于内河航运减排策略评估的数字孪生。该职位需具备基于代理的建模和大数据分析能力。享受灵活工作时间、优厚养老金及搬迁支持。
TU Delft
TU Delft
荷兰代尔夫特 现场 全职 UTC+01:00

TU Delft

公司概况

名称

TU Delft(代尔夫特理工大学)

总部

荷兰代尔夫特

成立

1842年

规模

约19,000名学生和超过3,300名科研人员(来源:linkedin.com)。

他们的工作

TU Delft是荷兰最大和最古老的公立技术大学,专注于多个技术领域的教育和研究。该大学在能源研究方面具有强大的重点,特别是在可再生能源领域。电气可持续能源(ESP)实验室作为未来数字能源系统的多学科研究中心,致力于高比例可再生能源的研究(来源:tudelft.nl)。研究领域包括可再生能源在电网中的整合、能源存储,以及氢气转化和地热系统等创新技术的发展。

项目与业绩

TU Delft有众多与可再生能源相关的研究倡议和项目。其中包括RELEASE项目,专注于通过电化学转化进行大规模能源存储,以及TradeRES项目,研究100%可再生能源系统的市场设计(来源:tudelft.nl)。此外,风能研究所(DUWIND)协调六个学院的风能研究,关注空气动力学、材料和涡轮优化。

近期发展

最近,TU Delft推出了多个新倡议,包括24/7能源实验室,研究建筑环境的本地无碳能源系统,以及浮动可再生能源实验室,专注于海上可再生能源的应用(来源:tudelft.nl)。这些实验室是大学为促进能源转型和可持续发展所做更广泛努力的一部分。

在TU Delft工作

TU Delft提供多种角色和部门,从科研人员到支持人员。大学提供一个激励人心的工作环境,注重研究和创新。员工受益于促进合作和跨学科研究的文化,以及通过他们的“终身学习”平台提供的专业发展机会,该平台提供关于综合能源系统和可再生能源技术的课程(来源:tudelft.nl)。


最后更新于 2月 23, 2026 | 报告问题

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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职位详情

2026年8月13日

2026年8月13日

全职

现场

学校

水力发电, 氢能

TU Delft

tudelft.nl

  •  荷兰代尔夫特

Postdoctoral level with a PhD

UTC+01:00