Siemens Academic Software Grant Brings World‑Leading AI Tools to UNB Students

Students at the University of New Brunswick will soon have access to state-of-the-art design and simulation tools, thanks to an industry-grade software grant from Siemens.

Building on UNB's long-standing collaboration with Siemens, the grant provides students with access to the company's Global Academic and Future Workforce program, an initiative that equips graduates with the skills they need to enter the workforce as day-one-ready engineers.

"UNB has always been a place where innovation thrives. With Siemens' support, our students will now have access to advanced tools that are shaping the future of engineering and AI," said Dr. Paul J. Mazerolle, president and vice-chancellor of UNB. "This generous grant strengthens our ability to prepare graduates to thrive in the workforce."

With this grant, students and researchers will gain access to the same advanced tools that companies around the world depend on every day to shape the future of industrial AI and to develop products in a wide variety of industries including automotive, aerospace, machinery, shipbuilding, high-tech electronics and many more.

"Siemens is pleased to further strengthen our collaboration with UNB through this grant, which provides access to industry-grade software from the Siemens Xcelerator portfolio," said Faisal Kazi, President and CEO, Siemens Canada. "In Canada, we're seeing the need for students to acquire a new and ever evolving set of skills to keep pace with technology. To build a strong pipeline of talent in this country, it is imperative that industry works together with higher education leaders like UNB to provide students with real-world digital tools and the opportunity to train on them."

Using digital twin technology, learners will be able to work hands-on with industry grade engineering and manufacturing tools, gain knowledge of agentic AI systems and how intelligent software agents are able to assist in the planning, adapting and execution of complex tasks. These systems can autonomously manage complex workflows and collaborate with human experts in real-time to help drive exploration within the engineering domain and accelerate innovation

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Kathleen McLaughlin
Media Relations Strategist
University of New Brunswick
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