6 Uncertainty Quantification Jobs

Role Overview: As a Development Geologist cum Modeller, you will play a crucial role in integrating geological, geophysical, petrophysical, and engineering data to develop robust static models for field development and reservoir management. You will be a key contributor in multidisciplinary teams, aiding in strategic decision-making through technical excellence and cross-functional collaboration. Key Responsibilities: - Proficiently interpret depositional environments across various systems such as clastic, carbonate, mixed, deepwater, and shallow-marine systems. - Conduct seismic facies analysis and generate detailed depositional models. - Develop complex structure models, utilizing both st...

As a Research Associate at UNSW in Sydney, Australia, you will be part of a collaborative team working on an ARC-funded Discovery Project focusing on High Dimensional Approximation, Learning, and Uncertainty. Your primary responsibility will be to develop and implement innovative schemes for high-dimensional approximation that are reliable, accurate, and efficient in handling numerous variables or uncertain parameters tailored to specific applications. Key Responsibilities: - Undertake collaborative and self-directed research in High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods. - Contribute to scientific publications, coordinate researc...

TDMM Artificial Intelligence team is looking for a passionate, talented, and inventive Computer Scientist with a strong applied mathematics background, to build industry-leading technology with Foundation models including multimodal systems and the opportunity to contribute to our AI initiatives and drive innovation in financial services. Key job responsibilities: Leverage TDMM diverse multimodel financial data sets along with large-scale computing resources to fast-track advancements in LLMs, and multimodal systems, ensuring our model team stays at the forefront of innovation in science and help our clients. Work with large teams, including external collaborators Present research findings B...

As a Research Associate at the School of Mathematics and Statistics at UNSW in Sydney, Australia, you will have the opportunity to collaborate with esteemed professionals in the field and contribute to innovative research projects. The School is internationally recognized for its excellence in mathematics and statistics, offering a vibrant and inclusive community for your career growth. **Key Responsibilities:** - Conduct research in High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team. - Lead some areas of the project when opportunities arise. - Contribute to writing scientific papers and reports for int...

The Artificial Intelligence team at TDMM is seeking a dedicated and creative Computer Scientist with a solid background in applied mathematics to contribute to the development of cutting-edge technology, including multimodal systems and Foundation models. As a member of our team, you will have the opportunity to play a key role in our AI initiatives and drive innovation within the financial services sector. Your responsibilities will include leveraging TDMM's diverse multimodal financial datasets and extensive computing resources to accelerate advancements in LLMs and multimodal systems. By working closely with large teams and external collaborators, you will help ensure that our model team ...

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the f...