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TU Delft

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

Torne-se Pesquisador Pós-Doutoral em IA Marítima na TU Delft, na Holanda. Trabalhe em projetos inovadores para melhorar a eficiência do combustível em operações marítimas. Colabore com parceiros de destaque e desfrute de horários flexíveis e ótimos benefícios.
TU Delft
TU Delft
Delft, Países Baixos Flexível Tempo Integral UTC+01:00

TU Delft

Visão Geral da Empresa

TU Delft (Universidade Técnica de Delft)

Delft, Países Baixos

1842

Aproximadamente 19.000 estudantes e mais de 3.300 pesquisadores (fonte: linkedin.com).

O Que Eles Fazem

A TU Delft é a maior e mais antiga universidade técnica pública dos Países Baixos, focando em ensino e pesquisa em diversas áreas tecnológicas. A universidade tem uma forte ênfase em pesquisa de energia, especialmente em energias renováveis. O Laboratório de Energia Elétrica Sustentável (ESP) atua como um centro para pesquisa multidisciplinar sobre futuros sistemas de energia digital com alta participação de energia renovável (fonte: tudelft.nl). As áreas de pesquisa incluem, entre outras, a integração de fontes de energia renovável na rede elétrica, armazenamento de energia e o desenvolvimento de tecnologias inovadoras como conversão de hidrogênio e sistemas geotérmicos.

Projetos & Histórico

A TU Delft possui inúmeras iniciativas de pesquisa e projetos relevantes para energia renovável. Exemplos incluem o projeto RELEASE, que se concentra no armazenamento de energia em larga escala por meio de conversão eletroquímica, e o projeto TradeRES, que investiga designs de mercado para sistemas de energia 100% renováveis (fonte: tudelft.nl). Além disso, o Instituto de Energia Eólica (DUWIND) coordena pesquisas sobre vento em seis faculdades, com foco em aerodinâmica, materiais e otimização de turbinas.

Desenvolvimentos Recentes

Recentemente, a TU Delft lançou várias iniciativas, incluindo o Laboratório de Energia 24/7, que investiga sistemas de energia livres de carbono para o ambiente construído, e o Laboratório de Renováveis Flutuantes, que se concentra na implementação de energia renovável offshore (fonte: tudelft.nl). Esses laboratórios fazem parte dos esforços mais amplos da universidade para contribuir com a transição energética e o desenvolvimento sustentável.

Trabalhar na TU Delft

Na TU Delft, existem diversas funções e departamentos, variando de pessoal acadêmico a pessoal de apoio. A universidade oferece um ambiente de trabalho estimulante com forte foco em pesquisa e inovação. Os colaboradores se beneficiam de uma cultura que promove a colaboração e a pesquisa interdisciplinar, além de oportunidades de desenvolvimento profissional por meio de sua plataforma Learning for Life, que oferece cursos sobre sistemas de energia integrados e tecnologias de energia renovável (fonte: tudelft.nl).

Contato


Última atualização em 2026-02-13 | Relatar um problema

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.

Candidate-se agora

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Sobre a função

21 fevereiro 2026

Tempo Integral

Escola

21 fevereiro 2026

Flexível

TU Delft

tudelft.nl

  •  Delft, Países Baixos

Postdoctoral level, PhD required or near completion

UTC+01:00

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