Phd Student on "Logistics Optimization: A Human-Centric Approach" (d/f/m)

Job Description:

Aircush Operations is looking for a PhD Student on “Logistics Optimization: A Human-Centric Approach” (d/f/m). Are you looking for a PhD in industry in collaboration with a university? Would you like to discover how combinatorial optimization and human‑centric decision making applies to industrial systems? Then apply now! We look forward to you joining us as a PhD student (d/f/m) at Airbus Central R&T (35 hours/week, flexi‑time).

Location: Hamburg

Start: as soon as possible

Duration: 36 months

This PhD proposal aims to redefine industrial logistics optimization by focusing on human factors and the specific requirements of industrial architects, moving beyond traditional cost‑centric Key Performance Indicators. Unlike conventional optimization, industrial architects might perceive “optimal” differently, where alongside quantitative metrics, additional requirements such as resilience, robustness, operational flow, adaptability, and safety play a central role. The human‑factors‑driven perspective is central, recognizing humans not just as operators but as integral to system design and performance. This addresses a significant research gap in systematically integrating human‑related factors into logistics optimization models.

You will develop a multi‑objective optimization model that balances traditional KPIs with quantified human factors. This will lead to a framework for designing industrial logistics systems that are not only efficient but also human‑centric, resilient, and sustainable, providing valuable guidance for future industrial environments.

Your location

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautical legacy.

Your benefits

• Work‑life balance with a 35‑hour week (flexitime).
• International environment with the opportunity to network globally.
• Work with modern/diversified technologies.
• At Airbus, we see you as a valuable team member and you are not hired to brew coffee; instead you are in close contact with the interfaces and are part of our weekly team meetings.
• Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

• Join an interdisciplinary research environment.
• Develop and implement with Answer Set Programming within the state‑of‑the‑art research for applications in industrial systems.

Desired Skills and Qualifications

• Background in Computer Science, Philosophy, or Cognitive Science.
• Good computer and technology knowledge and skills.
• Ability to analyze and formalize problems.
• Hands‑on attitude and ambition to take up new challenges in cutting‑edge research.
• English: fluent.
• Experience with Logic Programming/Answer Set Programming is optimal but not required.
• Experience with an aeronautical environment would be a plus.
• You are a good team player, have excellent communication skills, and are able to work independently.

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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