PhD Thesis (f/m/d) – Leveraging Generative AI in Green Software Engineering Full-time

Art of Employment: Limited; 20 h/week

Develop what will be important tomorrow.

With our innovative ideas, we can decisively advance the company’s digitalization strategy. If you see software engineering and data analytics as your calling and are passionate about digital, innovative business models, then come on board and change the world behind the scenes. Break new ground and steer Mergers & Acquisitions projects in the right directions through digitalization. We offer you the necessary resources and a wide range of possible applications. Take your chance now to become part of a global, overarching network of intellectual property professionals consisting of lawyers, patent attorneys and computer scientists.

If you really want to make a difference – make it with us.

With its +2,000 employees, Siemens Technology (T) works hand in hand with the company’s business units to ensure Siemens’ future. T conducts research with internal and external partners, including leading universities and promising start-ups. Join us in enhancing efficiency, sustainability, and performance in software engineering in collaboration with European research programs and Siemens Business Units.

Your new role – challenging and future-oriented – You will…

• Identify and elaborate opportunities to leverage Generative AI in Green Software Engineering.
• Utilize machine learning and rule-based methods to reduce the CO2 footprint and maintenance efforts of software systems by improving design quality, optimizing resource usage, and reducing energy consumption.
• Apply and evaluate your findings in the migration of an industrial legacy system adhering to principles of Green Software Engineering.
• Support bi-annual assessments of porting success by evaluating conformance to GreenCode standards and technical value proposition.
• Furthermore, generalize the identified sustainability practices into a value-oriented software engineering processes, focusing on Software as a Service (SaaS) evolution.
• You publish and present research results at academic/industrial conferences and journals.
• Finally, drive the discussion on main research questions and present their relevance for Siemens.

Your qualifications – solid and appropriate – You have…

• M.Sc. degree in Informatics, Computer Science, Information Technology or similar.
• Convince with solid understanding of natural language processing (NLP) concepts and techniques.
• Have initial hands-on experience in Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs)
• In addition, you have initial experience in deep learning frameworks like TensorFlow or PyTorch.
• Deep understanding of software engineering applied in a variety of use cases and projects is a prerequisite
• Strong programming skills in languages such as Python, Java, C#.
• Last but not least: very good written and oral English skills are required (C1). German skills would be an advantage (>B1)

Additional Information

• We offer options for academic supervision within our established network of university partnerships

We’ve got quite a lot to offer. How about you?

www.siemens.de

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As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.