160 affective-computing-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at ETH Zurich
Sort by
Refine Your Search
-
for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
-
, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
-
) Contribute to the strategic direction of research Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with
-
computational methods and to contribute to interdisciplinary research with potential clinical impact, ideally supported by a solid publication record. Workplace Workplace We offer Your job with impact: Become
-
evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
-
, technology, and societal impact. Together with its associated centres and labs, we investigate how to effectively market innovative offerings and how emerging technologies transform the relationship between
-
Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
-
transdisciplinary knowledge. Job description We offer a full doctoral student position in our research group. The doctorate will be conducted within the Einstein School’s doctoral program and is expected to be
-
novel research programme at the frontier of multimodal AI and ICU clinical cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access
-
scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background