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Master Thesis (d / f / m) within Dynamic Operator Task Allocation in Future Fighter Cockpits
Airbus
Manching
Presencial
EUR 40.000 - 60.000
Tempo parcial
Há 25 dias

Resumo da oferta

A leading aerospace company in Manching is seeking a Master Thesis student in Human Factors Engineering to explore dynamic task allocation in fighter cockpits. The thesis will focus on the impact of changing automation levels on operator performance. Ideal candidates are full-time master's students in Human Factors or Psychology, with skills in literature research, experimentation, and programming. The position offers a flexible 35-hour week and an attractive salary.

Serviços

Attractive salary
Work-life balance
International networking opportunities
Exposure to modern technologies
Participation in Generation Airbus Community

Responsabilidades

  • Investigate impact of dynamic changes in automation levels.
  • Conduct literature review on Dynamic Task Allocation.
  • Develop a problem statement and key research objectives.
  • Program a simple game to simulate dynamic changes in automation.
  • Run an experiment with participants to gather performance data.
  • Write a thesis report structured like a scientific article.

Conhecimentos

Literature research
Experiment running
Scientific writing
Programming knowledge for game development
Teamwork
Fluency in English

Formação académica

Full-time master student in Human Factors, Psychology, or related field
Descrição da oferta de emprego
Overview

In order to support the department Human Factors Engineering for Future Programmes, Airbus Defence and Space is looking for a Master Thesis within Dynamic Operator Task Allocation in Future Fighter Cockpits (d/f/m).

You are looking for a master thesis and want to get to know the work of Airbus? Then apply now! We look forward to you supporting us in the Human Factors Engineering for Future Programmes for a Master Thesis (d/f/m)!

Location & Details
  • Location: Manching
  • Start: As soon as possible
  • Duration: 6 months
Project Overview

The complexity of task allocation in a fighter cockpit often demands substantial cognitive effort from pilots, which can lead to pilot overload and ineffective, or even unsafe operations. Technological advancements now enable the integration of Dynamic Task Allocation (DTA) in future cockpits, aiming to reduce the task load on pilots by dynamically adjusting the level of automation based on situational demands. However, the execution, timing, and frequency of these dynamic changes have critical implications for pilot safety and mission success. This thesis project seeks to explore how dynamic changes in levels and types of automation affect operator performance, with the goal of informing the design of a DTA system that enhances operator performance by incorporating human factors.

Your location

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

Benefits
  • Attractive salary and work-life balance with an 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

The primary focus of this thesis project is to investigate the impact of dynamic changes in automation levels during a gaming activity. By exposing participants to varying rules and automation levels within a game, we aim to understand how these changes affect performance. This understanding will inform the design of future DTA change parameters.

  • Conducting a literature review on Dynamic Task Allocation.
  • Developing a problem statement and defining key research objectives.
  • Programming a simple game (e.g., the classic Snake game) and rulebook to simulate dynamic changes in automation.
  • Running an experiment with a sufficient number of participants to gather data on performance.
  • Writing a thesis report structured as a scientific article, including sections on Introduction, Methods, Results, and Discussion.
Desired skills and qualifications
  • Enrolled as a full-time master student in Human Factors, Psychology, or a related field.
  • Knowledge in literature research, running experiments, and scientific writing.
  • Programming knowledge sufficient for (simple) game development.
  • Strong teamwork skills.
  • Fluent in English.

Please upload the following documents: cover letter, CV, relevant transcripts, enrolment 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 Defence and Space GmbH

Employment Type: Final-year Thesis

Experience Level: Student

Job Family: Support to Management

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.

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