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Aerospace company.

Phd Student on “Logistics Optimization: A Human-Centric Approach” (d/f/m) at Airbus

RoleData Science
LevelIntern
LocationHamburg Area
WorkOn-site
TypeInternship
Posted1 day ago
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About the role

Job Description:

Airbus 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 nautic 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 with new challenges in cutting edge research

  • English: fluent

  • Experience with Logic Programming/ Answer Set Programming is optimal but not required

  • Experience with aeronautical environment would be a plus

  • You are a good team player, have excellent communication skills, and are able to work independently.

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Operations GmbH:

Employment Type:

PHD, Research

Experience Level:

Student

Job Family:

Research and Technology:

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 emsom@airbus.com.

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.

Required skills

Operations research

Optimization

Research

Mathematical modeling

Logistics analysis

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About Airbus

Airbus

Airbus

Public

Airbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.

10,001+

Employees

Leiden

Headquarters

$89B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.8

72%

Recommend to a friend

Pros

Learning opportunities and professional development

Supportive team and collaborative environment

Good compensation and benefits

Cons

High pressure and performance expectations

Long hours and overwhelming workload

Bureaucratic and rigid structure

Salary Ranges

43 data points

Junior/L3

L2

L6

L3

L4

L5

Junior/L3 · Data Science Engineer

1 reports

$114,826

total per year

Base

$88,327

Stock

-

Bonus

-

$114,826

$114,826

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

25%

Experience

Positive 25%

Neutral 75%

Negative 0%

Interview process

1

Application Review

2

HR Screen

3

Technical/Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit