Phd developer állások, munkák

• Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories

You will develop a novel mathematical approach for the comprehensive modeling of pin winding systems (hairpin windings), thereby laying the foundation for innovative electric machine designs....

• Maintain and develop the ocean biogeochemical model code of the HAMOCC model
• Coordinate integration of new process representations developed across multiple projects
• Establish and maintain software quality standards, testing procedures, and documentation

• 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.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Design and maintain a Commerce-wide engineering metrics framework to track delivery health and team performance
• Review metrics health at team, product, and portfolio level to surface bottlenecks and delivery risks early

You design end-to-end AI and data architectures from data ingestion to model serving, using and extending platforms within our vehicles with a strong focus on edge computing....

• You develop advanced algorithms for the analysis, control, protection, and optimization of industrial grids and microgrids
• You validate concepts through simulation, software prototypes, and demonstrators

• Design, implement, and analyse high- and low-resolution ocean simulations based on the ICON modeling framework
• Explore parameter and structural uncertainties in the model affecting biogeochemical processes
• Develop workflows for systematic model evaluation and benchmarking