Phd állások, munkák it programozás, fejlesztés területen

• Development of thorough conceptual and practical understanding of MSCI analytics by applying them to realistic investment management problems
• Driving new sales and client adoption
• Establishment of model validation standards
• Identification of new opportunities for model and product innovation

• 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

• Az ügyfelek technikai problémáira magas színvonalú szakmai megoldás kidolgozása
• Az ügyféligények feltérképezése és együttműködés a megoldás kialakításában
• Részvétel a termékfejlesztési projektekben
• A fejlesztő kollégákkal egyeztetés a megoldási lehetőségekről

• Az ügyféligények megismerése, technikai információkkal történő ellátása
• Az Ozeki szoftvertermékeinek és megoldásainak kidolgozásában való részvétel
• A fejlesztés dokumentálása
• Az ügyféligényeknek megfelelő megoldás kidolgozása
• Részvétel a cég fejlesztési projektjeiben
• Együttműködés a fejlesztő kollégákkal

• Az ügyféligények megismerése és technikai információkkal történő ellátása
• Az Ozeki szoftvertermékeinek és megoldásainak kidolgozásában való részvétel
• A fejlesztés dokumentálása
• Az ügyféligényeknek megfelelő megoldás kidolgozása
• Részvétel a cég fejlesztési projektjeiben

• Research study on state-of-the-art AI platforms and tools based on available commercial, open-source, in-house and academic field solutions
• Deep dive into our ASIC development process

The design and development of innovative safety contracts will be your core focus, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems....

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

• 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

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• 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

• 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

• 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 exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• 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.

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• 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