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PhD Candidate in Sustainable Software Development

vor 3 Monaten


Garching bei München, Bayern, Deutschland Siemens AG Vollzeit

Employment Type: Limited; 20 h/week

Shape the Future of Technology.

At Siemens AG, we are committed to advancing our digital transformation through innovative strategies. If you are driven by software development and data analysis, and you have a passion for pioneering digital business models, we invite you to join our team and contribute to transformative projects. Your role will be crucial in guiding Mergers & Acquisitions initiatives towards successful digital outcomes. We provide you with the necessary tools and a diverse range of applications to make a significant impact. Seize this opportunity to connect with a global network of intellectual property experts, including legal professionals, patent specialists, and IT experts.

Make a Meaningful Impact with Us.

With over 2,000 professionals, Siemens Technology (T) collaborates closely with various business units to secure Siemens' future. Our research efforts involve partnerships with internal teams, esteemed universities, and innovative start-ups. Join us in our mission to enhance efficiency, sustainability, and performance in software engineering through collaboration with European research initiatives and Siemens Business Units.

Your Role – Engaging and Forward-Thinking - You Will...

Explore and develop applications of Generative AI in Green Software Engineering. Implement machine learning and rule-based techniques to minimize the carbon footprint and maintenance demands of software systems by enhancing design quality, optimizing resource utilization, and lowering energy consumption. Apply and assess your research findings in the transition of an industrial legacy system, adhering to Green Software Engineering principles. Assist in bi-annual evaluations of migration success by measuring compliance with GreenCode standards and assessing technical value. Generalize identified sustainable practices into a value-driven software engineering framework, with a focus on Software as a Service (SaaS) evolution. Present and publish research outcomes at academic and industry conferences and in scholarly journals. Facilitate discussions on key research questions and articulate their significance for Siemens.

Your Qualifications – Strong and Relevant - You Have...

A Master’s degree in Informatics, Computer Science, Information Technology, or a related field. A solid understanding of natural language processing (NLP) concepts and methodologies. Initial practical experience in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). Familiarity with deep learning frameworks such as TensorFlow or PyTorch. A deep understanding of software engineering principles applied across various projects and use cases. Proficient programming skills in languages such as Python, Java, and C#. Excellent written and spoken English skills (C1 level); proficiency in German is a plus (> B1).

Additional Information

We provide opportunities for academic mentorship through our established university partnerships.

Explore What We Offer.

Discover more about Siemens and our values before applying.

As an equal-opportunity employer, we welcome applications from all qualified candidates.