Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
-
or more Departments they wish to apply to. Applicants should submit a cover letter, curriculum vitae, statements outlining plans for teaching, research, and contributing to Penn State values (https
-
interpretability of intelligent systems in safety-critical domains like autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in
-
in “Embodied-AI and Human-Robot-Interaction” within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting in spring 2026, or as agreed. Department
-
excellent education and to produce wellbeing for the society. Research at EEA is organized in three focus areas: 1) Electrical power systems and energy conversion, 2) Control, robotics and autonomous systems
-
well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
-
NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within
-
on robot development and autonomous navigation but based on the interests of the PhD fellow there are also opportunities to investigate planning and optimization of sensor placement, human-robot interaction
-
the relevant field of study or possession of equivalent experience. Artificial Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu
-
of expertise in vision-based driving systems. Beyond autonomous vehicles, the project’s advances in sensorimotor imitation learning are expected to benefit a wide range of robotic applications, promoting more