PhD Position - Machine Learning Engineer (f/m/d)

Siemens Austria is one of the leading technology companies in the country. For more than 140 years, we have stood for sustainability, innovation, quality, reliability, and we place great value on diversity in our teams, promoting variety in all its dimensions. Would you like to support the automation and digitalization of our customers at one of the most innovative companies in the world? At a company that contributes to the responsible use of resources with smart digital solutions, drives technological development in the industry, and combats climate change?

Do you want to be responsible for pioneering projects from start to finish at one of the most innovative companies in the world, connecting data architecture, cloud technology, and artificial intelligence? Do you value collaboration with different departments and want to successfully implement sustainable solutions for the circular economy?

Then become part of our team and shape an innovative research project that enables the transition to sustainable, circular-oriented production!

Your new area of responsibility – motivating and future-oriented:

• Develop cloud-based data architectures to support life-cycle assessment (LCA) and digital product passport concepts.
• Design methods for real-time sensor fusion and online data visualization to enable interactive monitoring and decision support.
• Create predictive models with advanced deep learning architectures (LSTMs, encoder-decoder networks, deep neural networks).
• Develop life-cycle-based simulation tools to generate synthetic datasets and enable early-stage experiments.
• Establish concepts for secure, role-based data access in multi-stakeholder environments.
• Collaborate closely with subject matter experts from materials science, production, sustainability, and IT infrastructure.
• Regularly document and present research results.

Your qualifications – solid and appropriate:

• Ongoing or soon-to-be-completed degree in computer science, data processing, mechanical engineering, or related disciplines.
• Solid knowledge of cloud technologies (Azure, AWS, or similar) and data architecture.
• Strong skills in Python and deep learning (TensorFlow, PyTorch, or comparable).
• Understanding of data visualization and database systems (SQL, NoSQL).
• Knowledge of LCA (life-cycle assessment) and/or sustainability is an advantage.
• Structured, independent, and solution-oriented working style with strong communication and teamwork skills.
• Very good German language skills and good English language skills, both written and spoken.
• Willingness to collaborate with international teams.

Our benefits:

• Flexible working hours, uncomplicated home office arrangements including payment of a home office allowance.
• Incorporated window days, more free time through free window days without having to consume vacation days.
• Extensive development opportunities.
• Canteen at the location.
• Inviting and respectful corporate culture.
• And much more.

Our offer:

The gross monthly salary according to the collective agreement for this position is at least EUR 3,888.53. Siemens, as a large corporation, also offers additional social benefits and perks.

Our application process:

We hope to have sparked your interest in this position. We look forward to your meaningful online application. The position is available from November 1st.