Sort by
Refine Your Search
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- CRANFIELD UNIVERSITY
- Nanyang Technological University
- New York University
- University of South-Eastern Norway
- Brunel University
- Centro de Engenharia Biológica da Universidade do Minho
- King Abdullah University of Science and Technology
- The University of Chicago
- UiT The Arctic University of Norway
- University of California
- University of California, San Diego
- University of Glasgow
- University of Notre Dame
- 4 more »
- « less
-
Field
-
the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship, delivering advanced imaging research to understand how pore-scale structure and mineral-carbon interactions
-
carbon into weathered rock and soil parent materials. About the Role This is a Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery
-
project confronts the global imperative for adaptable, low‐carbon energy infrastructure by investigating a hybrid system that synergistically integrates different renewable energy sources such as solar
-
complementary analytical techniques. This position provides hands-on experience in spectroscopy, materials characterization, and collaborative research within an international academic setting. What the Program
-
via Interfolio at: https://apply.interfolio.com/191139 . The following materials are required: C.V. Statement of research objectives that explains how the research will advance understanding of climate
-
, including carbon accounting and management, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Support life cycle analysis (LCA), environmental impact assessments
-
manufacturing, or low-carbon construction/material systems. Strong quantitative and data-integration skills, including experience working with geospatial data, infrastructure datasets, environmental inventories
-
, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
-
of lightweight and long-span earth retaining and stabilising structures iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct
-
(LLMs) for software engineering and static analysis tasks. More information about the lab is available at https://sanadlab.org . What the Program Offers Full-time paid research position for up to 3 years