PhD Student (f/m/d) - for sustainable AI

at  SAP

WE HELP THE WORLD RUN BETTER

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

Summary:
We are seeking a highly motivated and talented data scientist to join our team at SAP. As a member of our team, you will contribute to the development of cross-domain AI applications with a focus on sustainability. This position offers a unique opportunity to work on cutting-edge projects that leverage AI technologies to address complex challenges in a sustainable manner. If you are passionate about AI and its potential to drive positive change, we encourage you to apply.
The Role:

As Ph.D. researcher for sustainable AI, you will assess our internally developed AI solutions in terms of sustainability aspects. With the help of ML solutions, you will design an improved, more sustainable, setup for the training and operations of our AI solutions. A successful implementation of a proof of concept concludes your research on a sustainable setup for 30+ models.

• Collaborate with a multidisciplinary team to design, develop, and implement sustainable AI solutions.
• Conduct research and analysis to identify innovative approaches and techniques for integrating sustainability principles into AI applications.
• Develop and evaluate algorithms, models, and frameworks to improve the sustainability of AI systems.
• Stay up-to-date with the latest advancements in AI and sustainability, and contribute to the development of intellectual property and thought leadership in these areas.
• Publish research findings in top-tier conferences and journals, and present work at relevant industry and academic events.