Master Thesis Human AI Collaboration (f/m/x)

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Digitalisation, robotics, artificial intelligence – not science fiction but our daily business. Everything seems impossible until it has been done. World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

We, the BMW Group, offer you an interesting and varied Master thesis in the area of the innovative field at the BMW Group's central IT department. Your work should delve into the dynamic field of Human-Generative AI Collaboration. This area explores the synergistic partnership between humans and generative AI (GenAI) agents, aiming to achieve goals set by human participants. Thereby GenAI collaborates with human counterparts by producing content such as code, textual content, imagery, or video in response to human prompts. This collaboration empowers individuals to enhance their abilities and achieve superior results, making strides in efficiency and creativity in business tasks. Yet, the integration of GenAI into human processes is not without its challenges. It may inadvertently lead to a reduction in human creativity or facilitate the spread of misinformation within organizations and across digital platforms.

Therefore, the aim of your work is to investigate and develop design principles for effective and beneficial collaboration between humans and GenAI. The goal is to enhance the positive impacts while mitigating the potential negative consequences of this collaboration, ensuring that the fusion of human intelligence with artificial generativity leads to the most advantageous business outcomes.

What awaits you?

• Engage in interdisciplinary collaboration, bridging the gap between AI technology, behavioral science, and entrepreneurial needs to drive tangible business outcomes.
• Design, implement, and evaluate new, state-of-the-art Generate AI tools at BMW.
• Understand the mechanisms of effective human-AI collaborations including its regulatory governance principles.
• Investigate new Generative AI tools in the organizational landscape and drive impact.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Master studies in computer science, business informatics, media informatics, mathematics, applied mathematics, statistics, or a related field. Also, students from other fields with a sufficient skillset in computational or data-driven topics are welcome (e.g., human factors, mechanical engineering, electrical engineering, business with a specialization in digital topics, etc.).
• Strong software programming background/experience (e.g., Python).
• Proficiency in English and a basic to fluent level of German, both in spoken and written form.
• Strong interest in and knowledge of topics like machine learning, deep learning, etc. and/or human-computer interactions.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see bmw.jobs/benefits

You are enthused by new technologies and an innovative environment? Apply now!

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
 

Earliest starting date: from 10/01/2024

Duration: 6 months

Working hours: Part-time or full-time

Contact:
BMW Group HR Team
+49 89 382-17001