Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- North Carolina State University
- Hong Kong Polytechnic University
- Nanyang Technological University
- National University of Singapore
- Delft University of Technology (TU Delft)
- INESC TEC
- NTNU - Norwegian University of Science and Technology
- The Hong Kong University of Science and Technology (Guangzhou)
- University of Antwerp
- University of Sheffield
- Wageningen University & Research
- ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação
- Aalborg University
- CSIRO
- Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj
- KNAW
- Manchester Metropolitan University
- Montana State University
- New York University
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Saint Louis University
- Singapore University of Technology & Design
- Texas A&M AgriLife
- The University of Newcastle
- University of Bristol
- University of Bristol;
- University of British Columbia
- University of Chinese Academy of Sciences (UCAS)
- University of Dayton
- University of New Hampshire – Main Campus
- University of Sheffield;
- University of Texas at Arlington
- 24 more »
- « less
-
Field
-
compromised UAV may send poisoned model updates that corrupt the shared intelligence of the swarm. This PhD will develop lightweight, trust-aware methods to make FL models safer for UAV swarms. The successful
-
Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
-
project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should: (a) have a recognised PhD degree with a strong academic
-
a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
-
project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should have: (a) a PhD degree with academic background in Mechanical
-
PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV data generation protocols
-
. The role spans the entire research pipeline – from processing spatio-spectral-temporal UAV imagery to model development, algorithm validation and deployment, including contributions to a QGIS forest
-
project - “Automated marine infrastructure inspection based on intelligent underwater robot technology”. Qualifications Applicants should have: (a) a PhD degree with academic background in Mechanical
-
23rd October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a position as PhD Candidate in AI Driven MAC Control
-
PREFERRED QUALIFICATIONS FOR SENIOR GEOSPATIAL RESEARCH SCIENTIST PhD in geospatial science, geoinformatics, geography, computer science, remote sensing, or related areas with strong geospatial skills Record