Oracle
DTU Compute is seeking a professor to lead research in probabilistic machine learning, focusing on areas such as deep generative models, Bayesian methods, and uncertainty-calibrated AI. The role involves advancing research, contributing to interdisciplinary scientific challenges, and engaging in high-quality teaching and supervision.
Oracle is a multinational enterprise software and cloud computing company that builds database software, middleware, applications, and hardware systems. Its offerings include the Oracle Database and Autonomous Database, Oracle Cloud Infrastructure (OCI), and a broad suite of SaaS applications for ERP, HCM, CRM, supply chain, and analytics. Oracle serves large enterprises and government customers worldwide with integrated on‑premises and cloud products, professional services, and support focused on performance, security, and scale. The company is also known for engineered systems and strategic acquisitions (e.g., Sun, NetSuite) and competes with AWS, Microsoft Azure, and SAP in enterprise IT and cloud markets.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Oracle.
Oracle didn’t post a salary, so this is our estimate from similar listings.
89% below the average for this role
PhD scholarship in Probabilistic Machine Learning for Decision-Making under Uncertainty - DTU Compute
Oracle
PhD in Probabilistic Deep Learning / Doktorarbeit im Bereich „Probabilistic Deep Learning“
Airbus
Post-doc Position in Probabilistic Machine Learning and Active Inference
DTU Chemistry
Machine Learning Scientist
Arva
PhD
Oracle
PhD scholarship in Probabilistic Machine Learning for Decision-Making under Uncertainty - DTU Compute
Oracle