Postdoctoral Researcher in Stochastic Optimization (Copenhagen)

Job summary

This position involves conducting research in stochastic optimization specifically for maritime logistics as part of the SCRUB project. The role focuses on developing mathematical models and decision-support tools to address uncertainties in bulk shipping operations, including cleaning and inspection processes.

Qualifications

• PhD degree (or equivalent) in a relevant field.
• Strong expertise in mathematical optimization.
• Experience in large-scale algorithm design and implementation.
• Knowledge of decision making under uncertainty.
• Exposure to machine learning methods is a plus.
• Excellent programming skills.
• Good collaboration skills.
• Fluent in English, both spoken and written.

Responsibilities

• Develop advanced optimization models and algorithms for robust scheduling and routing of bulk carriers.
• Collaborate with industry partners to apply research findings to real-world challenges.

Skills

• Strong analytical and problem-solving abilities.
• Proficiency in programming languages relevant to optimization and data analysis.

Education

• A PhD degree (or equivalent) is required for this position.

Tools

• Familiarity with optimization software and programming tools relevant to the field.