University:
Delft University of Technology
Country:
Netherlands
Deadline:
2025-08-31
Fields:
Engineering, Computer Science, Operations Research, Applied Mathematics, Industrial EngineeringAre you passionate about applying your research expertise to tackle real-world challenges in renewable energy infrastructure? Do you envision your work making a significant impact on the future of sustainable energy systems? If you are driven to push the boundaries of planning and scheduling under uncertainty, particularly in the context of large-scale projects like offshore wind farms, this postdoctoral opportunity at Delft University of Technology could be the ideal next step in your academic career.Overcoming uncertainty in the planning and scheduling of complex infrastructure projects is a vital challenge in today’s rapidly evolving energy landscape. Offshore wind farms, in particular, present a unique set of logistical and operational hurdles, from unpredictable weather conditions to intricate supply chain dynamics. This postdoctoral position offers the chance to contribute to pioneering research that directly supports the realization of clean energy solutions.
About The University Or Research Institute
Delft University of Technology (TU Delft) is renowned for its world-class contributions to science, engineering, and design. Located in the Netherlands, TU Delft has a proud tradition of innovation, exemplified by its role in the creation of the Dutch waterworks and its pioneering advances in biotechnology. The university is committed to addressing global challenges in energy, climate, mobility, health, and digital society through cutting-edge education and research. TU Delft’s inclusive and diverse academic environment fosters creativity, innovation, and a sense of belonging for its international community of over 1,000 employees and 4,000 students. The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together leading experts in these disciplines, providing a vibrant setting for groundbreaking research and technological advancement.
Research Topic and Significance
The central focus of this postdoctoral position is the development of advanced methods for planning and scheduling under uncertainty, with a special emphasis on supply chain scenarios for offshore wind farm installation. As the world transitions toward sustainable energy sources, offshore wind farms have emerged as a critical component of the renewable energy mix. However, the installation and operation of these large-scale projects are fraught with uncertainties, including manufacturing delays, storage and transport limitations, port congestion, and highly variable weather conditions.The research aims to make fundamental advances in modeling and optimizing these complex scenarios. By developing and applying sophisticated (AI) algorithms and decision-making frameworks, the project seeks to enhance the efficiency and robustness of supply chain planning for offshore wind installations. This work has significant societal relevance, as it supports the deployment of renewable energy infrastructure and contributes to global efforts to combat climate change.
Project Details
The successful candidate will join the STAR Lab within the Faculty of Engineering, Mathematics and Computer Science at TU Delft, collaborating closely with the Sequential Decision Making group and colleagues from the Faculty of Civil Engineering and Geosciences. The research forms part of the project ‘Efficient From Fabrication to Installation of Large Offshore Assembled Turbines,’ funded by the Netherlands Enterprise Agency (RVO). Industrial collaboration is a key feature of this project, with partners such as Boskalis contributing practical insights and real-world case studies.The postdoctoral researcher will take a leading role in optimizing planning schemes for several practical cases, focusing on mitigating disruptions and improving the resilience of supply chain operations. The position offers a 24-month contract, with a workload of 36-40 hours per week. TU Delft provides a competitive compensation package, flexible work schedules, and comprehensive support for international relocation, including assistance for accompanying partners.
Candidate Profile
The ideal applicant for this postdoctoral position will possess the following qualifications and attributes:– A PhD degree (or dissertation submitted) in a relevant field such as engineering, computer science, operations research, applied mathematics, or industrial engineering.– A strong interest in making and applying fundamental advances in (AI) algorithms.– Demonstrated ability to lead research and develop innovative approaches to planning and scheduling challenges.– Excellent communication skills, with the capacity to engage effectively with diverse stakeholders, including industrial partners.– Experience with the Dutch working environment and collaboration with Dutch companies is highly desirable.– Ability to work both independently and as part of a multidisciplinary team.– Fluency in written and spoken English; knowledge of Dutch is helpful but not required.
Application Process
To Apply For This Position, Please Submit Your Application No Later Than August 31, 2025, Via The Application Button Provided On The Official TU Delft Careers Page. Your Application Should Include The Following Documents– Curriculum Vitae (CV)– Motivational letterPlease address your application to Dr. N. Yorke-Smith. For further information about the vacancy or the selection procedure, you may contact Dr. N. Yorke-Smith or Prof.dr. M.T.J. Spaan at n[dot]yorke-smith[at]tudelft[dot]nl or m[dot]t[dot]j[dot]spaan[at]tudelft[dot]nl. However, applications should not be sent to these email addresses.For more details and to access the application portal, visit: https://careers.tudelft.nl/job/Delft-Postdoc-in-Applied-Planning-and-Scheduling-under-Uncertainty-2628-CD/814890902/
Conclusion
This postdoctoral position at TU Delft represents a unique opportunity for motivated researchers to contribute to the advancement of renewable energy infrastructure through innovative research in planning and scheduling under uncertainty. If you are eager to make a tangible impact on the future of sustainable energy and work within a dynamic, international academic environment, you are encouraged to apply. Stay informed about similar academic opportunities by following updates in your field.Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/We’re an independent team helping students find opportunities.Found this opportunity helpful? Support us with a coffee!
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