Sort by
Refine Your Search
-
Listed
-
Country
- United States
- Hong Kong
- United Kingdom
- China
- France
- Belgium
- Australia
- Worldwide
- Singapore
- Germany
- Italy
- Macau
- Sweden
- Denmark
- Netherlands
- South Africa
- Spain
- Austria
- Cyprus
- India
- Poland
- Bulgaria
- Portugal
- Andorra
- Canada
- Czech
- Finland
- Greece
- Ireland
- Luxembourg
- Malta
- Mexico
- Slovakia
- United Arab Emirates
- 24 more »
- « less
-
Field
-
, Princeton Robotics; Associated Faculty, Computer Science) and include opportunities for collaboration across Princeton Robotics labs. Appointments are for one year, with the possibility of renewal contingent
-
). The successful candidate will be part of an active and interdisciplinary team of physicists and mathematicians, working at the interface of soft matter, robotics, statistical physics, and artificial intelligence
-
- MIT CSAIL Program Call . Eligibility Requirements: PhD in robot learning or a closely related field Demonstrated ability to pursue an independent research program Strong scientific publication record in
-
competitive proposal development—particularly at the Assistant and Associate Professor levels. While priority areas include Digital Twins, Robotics, Artificial Intelligence with applications to Engineering
-
Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
-
to the development or operation of shared automation or robotic experimentation platforms linked to AI-driven research. Publish and disseminate methodological or applied research outcomes arising from bootcamp-enabled
-
or have a relevant PhD degree or equivalent professional qualification/experience in Robotics, Engineering, Computer Science, Maths or closely related discipline (e.g. social science applied to technology
-
Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning for manipulation
-
(or ability to obtain within 6 months) Preferred Qualifications PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related field, with
-
develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain