10 Computer Science "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" PhD positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 14 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
-
Sauer Jørgensen ( [email protected] ), Department of Applied Mathematics and Computer Science, Technical University of Denmark. You can read more at https://www.compute.dtu.dk/ . If you are applying from
-
. Your qualifications You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical engineering, or completed courses with a minimum of 240
-
., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning
-
international affairs. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy
-
. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy, communications, public
-
. Demonstrated excellence in teaching and curriculum development in Robotics. Significant experience in bridging from the academic lab to serving society. A Ph.D. in robotics, computer science, or other
-
Ph.D. in computer science, chemistry, biochemistry, physics, engineering, or a related field as part of the UBC requirement. They must be eligible for appointment at the rank of Assistant Professor at
-
. Candidates whose work sits at the intersection of CSD and engineering, robotics, industrial design, or computer science are strongly encouraged to apply regardless of their disciplinary training. Our
-
of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train