Postdoc: Robust Stochastic Optimization for Bulk Shipping

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 420,000 - 540,000; Full time

Job summary

DTU Management invites applications for a 2-year SCRUB project focused on robust scheduling and routing of bulk carriers under uncertainty. You will develop optimization models and algorithms, leveraging real-world data and collaborating with Danish partners to enhance operational robustness.

We seek a PhD holder with strong optimization skills, experience in large-scale algorithm design, and good programming ability. Fluency in English is essential, and ML exposure is a plus.

Qualifications

• Strong expertise in mathematical optimization.
• Experience with large-scale algorithm design and implementation.
• Knowledge of decision making under uncertainty.
• Ideally exposure to machine learning methods.
• Passion for research and pushing scientific frontiers.
• Desire to work with real industrial challenges.
• Excellent programming skills.
• Good collaboration skills.
• Fluent in English, spoken as well as written.

Responsibilities

• Develop advanced optimization models and solution algorithms for robust scheduling and routing of bulk carriers under operational uncertainty.
• Collaborate with DTU Management and external partners to incorporate real-world data.
• Publish findings and contribute to open scientific and industry discussions.

Skills

Optimization

Large-scale algorithms

Uncertainty modeling

Machine learning exposure

Research mindset

Collaboration

English fluency

Education

PhD degree

Tools

Programming

Job description

DTU Management invites applications for a 2-year SCRUB project focused on robust scheduling and routing of bulk carriers under uncertainty. You will develop optimization models and algorithms, leveraging real-world data and collaborating with Danish partners to enhance operational robustness.

We seek a PhD holder with strong optimization skills, experience in large-scale algorithm design, and good programming ability. Fluency in English is essential, and ML exposure is a plus.