24 computational-complexity Fellowship research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
are seeking a Research Fellow in the fields of Scientific Computing for interdisciplinary applications, to contribute to a project focused on developing and analyzing efficient computational methods for complex
-
, FC, CHB, and MMC, with a deep understanding of their control complexities and system-level integration challenges. End-to-end hardware development experience, including schematic capture, multilayer
-
, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets. Collaborate with multidisciplinary teams including biologists, engineers, and clinicians
-
to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
, multimodal sensor fusion, and safe human-robot collaboration. Emphasis will be on methods that enable robots to learn complex skills from data and adapt robustly to dynamic, uncertain environments. The role
-
De Lorenzis, Chair of the Computational Mechanics Group at ETH Zurich. This project aims to advance our understanding of shear fracture propagation in complex geological systems using next-generation
-
. This position is ideal for candidates excited about computational science, HPC, and building powerful tools to simulate complex geological processes. Key Responsibilities: Implement efficient and scalable
-
of next-generation AI agent architecture in complex and dynamic environments. Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary
-
experiments and electromagnetic field sensing. Strong publication record and ability to manage complex experimental systems. Proven ability to work effectively both independently and in collaborative teams. We