Postdoc Researcher in Maritime AI and Fuel-Efficient Vessel Operations (AI)
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Описание вакансии
TL;DR
Postdoc Researcher in Maritime AI and Fuel-Efficient Vessel Operations (AI/ML): Developing data-driven and physics-informed models to optimize fuel efficiency and reduce emissions in real-world vessel operations with an accent on hybrid modelling and biofouling detection. Focus on integrating environmental factors and operational data into predictive performance models to accelerate decarbonization across the maritime industry.
Location: Must be based in or relocate to Delft, Netherlands
Salary: €3,546–€5,538 per month
Company
A top international university combining science, engineering, and design to address global challenges in energy, climate, mobility, and digital society.
What you will do
- Develop hybrid models combining physics-based knowledge with AI techniques to predict vessel fuel consumption.
- Design and validate data-driven biofouling detection and monitoring methods for condition-based maintenance.
- Integrate environmental factors like waves, wind, and currents into predictive performance models.
- Collaborate with academic and industrial partners to validate methods on real-world datasets.
- Contribute to scientific publications, conference presentations, and project deliverables.
- Support the supervision of MSc and PhD students in related research areas.
Requirements
- PhD (or near completion) in maritime engineering, mechanical engineering, applied mathematics, computer science, or a related field.
- Expertise in maritime energy systems, data-driven modelling, and hybrid physics–AI approaches.
- Solid background in modelling of dynamic systems and/or machine learning for engineering applications.
- Strong written and verbal communication skills in English.
- Willingness and ability to relocate to the Netherlands.
Nice to have
- Experience with data analysis, simulation tools, or digital twins.
Culture & Benefits
- Flexible working week and the possibility to compile an individual employment package annually.
- Excellent pension scheme via ABP and discounts on supplemental health insurance.
- Generous leave allowance of 232 hours per year (based on a 38-hour week).
- Extensive opportunities for professional education, training, and courses.
- Comprehensive relocation support via the Coming to Delft Service and a Dual Career Programme for partners.
Hiring process
- Submission of a motivation letter and a detailed CV including a list of publications.
- Risk assessment for knowledge security conducted during the final stages of recruitment.
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