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Master thesis (d/f/m) in the field of Artificial Intelligence, Evaluation of Generative AI for manufacturing related use-cases

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Airbus

Aug 3, 2024

  • Internship
    Full-time
    Off-cycle Internship
  • Hamburg
  • Quick Apply

AI generated summary

  • You should be a full-time Master's student in a relevant field with knowledge of ML, deep learning, AI ethics, Python, and cloud technologies, plus strong English skills.
  • You will evaluate Generative AI tools for NLP, collaborate with teams on applicability, identify specialized metrics, ensure AI ethics, implement findings, and engage with the global AI community.

Requirements

  • Enrolled full time Master Student (d/f/m) in Computer Science, Data Science or similar study fields.
  • Fundamental understanding of Machine Learning and Deep Learning techniques, especially pertaining to Generative AI.
  • Interest in the topics of AI safety and ethics.
  • Good Python coding skills and familiarity with frameworks like Langchain, LlamaIndex, Huggingface Transformers or similar.
  • Interest and curiosity in working with cloud technologies, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Fluent in written and spoken English.

Responsibilities

  • Investigation of approaches, tools and metrics for evaluating the quality of Generative AI (GenAI) applications for natural language processing (NLP), focusing in particular on evaluation of such components as retrieval and generation, as well as end-to-end evaluation.
  • Close cooperation with GenAI use case developers and business teams at Airbus for estimating practical applicability and suitability of the investigated approaches.
  • Identification of metrics and techniques suitable for highly specialized data pertaining to aircraft selling, designing, procuring and manufacturing documentation.
  • Conducting evaluation following the principles of AI ethics by design to test trustworthiness of AI applications in a potentially high stake environment.
  • Implementation and testing of your findings in dedicated code components and pipelines.
  • Engagement in the global AI and Analytics Community at Airbus, such as holding project showcases and sharing expertise and best practices on the evaluation of GenAI applications.

FAQs

What is the job title for this opportunity?

The job title is Master thesis (d/f/m) in the field of Artificial Intelligence, Evaluation of Generative AI for manufacturing related use-cases.

What is the location of this position?

The position is located in Hamburg.

When is the start date for this thesis opportunity?

The start date for this thesis opportunity is 01.11.2024.

How long is the duration of the thesis work?

The duration of the thesis work is 6 months.

What kind of team will I be working with?

You will be working with the Advanced Analytics and Artificial Intelligence Team at Airbus, which consists of data scientists, software engineers, product managers, and more from an international and diverse group.

What will be my primary tasks and responsibilities?

Your primary tasks will include investigating approaches and metrics for evaluating Generative AI applications, collaborating with developers and business teams, identifying suitable metrics for specialized data, ensuring ethical AI practices, implementing findings in code, and engaging with the AI and Analytics Community.

What are the desired qualifications for this position?

Desired qualifications include being a full-time Master’s student in Computer Science, Data Science, or a similar field, understanding machine learning techniques, interest in AI safety and ethics, good Python coding skills, and familiarity with cloud technologies.

Are there any specific programming frameworks I need to know?

Yes, familiarity with frameworks like Langchain, LlamaIndex, Huggingface Transformers, or similar is required.

Is there support for personal growth and development within the company?

Yes, Airbus supports personal growth and encourages applications even if you do not meet every qualification.

What should I include in my application?

You should include a cover letter, CV, relevant transcripts, and an enrollment certificate in your application.

What is the work-life balance like for this position?

The position offers an attractive salary and a work-life balance with a 35-hour work week and flexible working options.

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Airbus

We pioneer sustainable aerospace for a safe and united world.

Defence & Aerospace
Industry
10,001+
Employees
2014
Founded Year

Mission & Purpose

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide the most efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers the most modern and fuel-efficient airliners. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus approaches sustainability by respecting the planet, valuing people and enabling prosperity. These guiding principles are embedded in our operations and activities. In 2022, the Company generated revenues of €58.8 billion and employed a workforce of around 134,000.

Culture & Values

  • Customer Focus

    Customer focus is deeply embedded into our mindset, driving us to deliver on time, on cost and on quality. We partner with our customers to satisfy their needs and deliver benefits through valuable and sustainable solutions. We understand that each of us has an impact on customer relations through the work we do, which is why we always act with integrity and to the highest professional standards.

  • Integrity

    We work with integrity, choosing to speak up when our principles for ethical conduct are not respected. Our zero tolerance on unethical and non-compliant actions enables us to move forward with positivity and care. We act as ambassadors for the company, representing the integrity of Airbus even when we are outside work. The Airbus Ethics and Compliance programme seeks to ensure that the company business practices not only conform to applicable laws, regulations and principles, but remains above all ethical standard benchmarks.

  • Respect

    Respect guides us in our daily interactions. We respect each other, our customers and our products. We focus on building trust through transparent and honest communications. We create inclusive working environments, where all employees are listened to and valued for their individuality. We treat each other, and all our stakeholders, in the same considerate way that we would wish to be treated ourselves.

  • Creativity

    We value and encourage creativity. We recognise that creativity exists in many forms, with ideas brimming at every level, from “shoot for the moon” ambitions, right down to our daily work. Creativity can often mean simply looking at things in a different way and our collaborative culture allows us to build on ideas and continually improve the work that we do. We make sure that everyone at Airbus has the time, space and tools to progress ideas with imagination and passion. We are always ready to act with courage, challenging our ideas and learning from our processes when we need to go back to the drawing board.

  • Reliability

    We strive to maintain and build on our standards, proving and cementing our reputation for reliability. We each feel responsible for the collective success and progress of our global team and take accountability for our actions and outputs. We are dependable and can be trusted to ensure the safety and success of our products. We take pride in our work, ensuring the service and products we deliver are exceptional and completely reliable.

  • We are One / Team Work!

    We understand that there is power in individuals, but believe there is a much greater power in collaboration and teamwork. We seek to create engaging and inclusive workplaces, where everyone has the freedom to speak up and listen to each other with an open mind.

Benefits

  • Company Pension Scheme

  • Employee Discounts

  • Health Insurance

  • Parental Leave

  • Paid and Unpaid Holidays