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TU Delft

Postdoc Researcher in Maritime AI and Fuel-Efficient Vessel Operations (m/w/d)

成为TU Delft的海事人工智能博士后研究员,位于荷兰。参与创新项目,提高海事操作的燃料效率。与顶尖合作伙伴合作,享受灵活的工作时间和优厚的福利。
TU Delft
TU Delft
荷兰代尔夫特 灵活 全职 UTC+01:00

TU Delft

公司概况

TU Delft(代尔夫特理工大学)

荷兰代尔夫特

1842年

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)。

联系方式


最后更新于 2026-02-13 | 报告问题

Job Description

Are you passionate about applying artificial intelligence and data-driven methods to enable cleaner, smarter, and safer maritime operations? We are looking for a highly motivated Postdoctoral Researcher to join the Maritime & Transport Technology department at TU Delft.

You will be part of the Maritime AI Innovation Lab, working in close collaboration with academic and industrial partners including TU Delft, MARIN, Damen, RH Marine, SafeSystems, Spliethoff, and Ocean AI. The project addresses one of the most urgent challenges in sustainable shipping: how to reduce fuel consumption and emissions under realistic operating conditions, accounting for variable weather and progressive hull fouling.

The candidate will be part of a large team of PhD students working on different aspects of the energy transition in the maritime sector. You will work at Delft University of Technology, in the Department of Maritime & Transport Technology, in the Sustainable Drive and Energy Systems Group, under the supervision and guidance of Dr. Andrea Coraddu.

Your main tasks will include:

  • Developing hybrid models that combine physics-based knowledge with AI techniques to predict vessel fuel consumption under operational conditions.
  • Designing and validating data-driven biofouling detection and monitoring methods, enabling condition-based maintenance strategies.
  • Integrating environmental factors (waves, wind, currents) and operational data into predictive performance models.
  • Collaborating with partners to test and validate your methods on real-world datasets and demonstrator platforms.
  • Publishing your research in high-impact journals and conferences, and contributing to project deliverables.
  • Supervising MSc and PhD students working in related areas.

You will work in a stimulating, interdisciplinary environment, bridging cutting-edge research with industrial relevance. The position provides a unique opportunity to advance the state of the art in maritime digital twins, AI for energy efficiency, and sustainable shipping technologies.

We offer you a dynamic role in an ambitious project that directly contributes to the decarbonisation of the maritime sector, while giving you the freedom to develop your own scientific ideas and collaborations.

Job Requirements

We are looking for an outstanding and enthusiastic postdoc candidate who has expertise and/or strong interest in maritime energy systems, data-driven modelling, and hybrid physics-AI approaches.

The ideal candidate holds a PhD (or is close to completion) in one of the following areas: maritime engineering, mechanical engineering, applied mathematics, computer science, or a related field.

Other characteristics of a suitable candidate:

  • Solid background in modelling of dynamic systems and/or machine learning for engineering applications.
  • Interest in applying methods to fuel consumption, propulsion, and biofouling monitoring in maritime contexts.
  • Experience with data analysis, simulation tools, or digital twins is an advantage.
  • Proactive and independent, with the ability to interact effectively with different stakeholders in academia and industry.
  • Good communication skills in English (both written and spoken).
  • Team player, willing to contribute to the supervision of MSc and PhD students within the group.

Conditions of Employment

  • Duration of contract is 1 year Temporary
  • A job of 32-40 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

For more information about this vacancy, you can contact Dr Andrea Coraddu, ([email protected]).

Application Procedure

Are you interested in this vacancy? Please apply no later than 24 March 2026 via the application button and upload the following documents:

  • A cover letter stating your motivation
  • Detailed curriculum vitae (including a list of publications)

You can address your application to Dr. Andrea Coraddu.

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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关于这个角色

2026年2月21日

全职

学校

2026年2月21日

灵活

TU Delft

tudelft.nl

  •  荷兰代尔夫特

Postdoctoral level, PhD required or near completion

UTC+01:00

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