Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
23 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
-
experience with neurophysiological measurements, as well as data collections and field experiments. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail
-
18 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
-
primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
-
learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
-
12 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Researcher Profile Established Researcher (R3) Country United Arab Emirates
-
. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit
-
22 Aug 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
-
developing new treatments and diagnostics for cardiovascular, neurologic, and metabolic diseases. The successful applicant will join a number of fascinating projects on engineering novel approaches to modulate
-
in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot manipulation learning & control, and differential