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Where you belong: Where you belong: ...

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Research and development of state-of-the-art numerical solvers for real-time simulation of power systems and power electronics
• Development of real-time simulation solvers for HIL / HPC platforms based on hybrid systems FPGA – CPU

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data