Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- Sweden
- United Kingdom
- Germany
- United Arab Emirates
- France
- Denmark
- Spain
- Netherlands
- China
- Hong Kong
- Portugal
- Australia
- Poland
- Romania
- Austria
- Canada
- Belgium
- Singapore
- Italy
- Lithuania
- Switzerland
- India
- Brazil
- Croatia
- Cyprus
- Czech
- Estonia
- Finland
- Ireland
- Japan
- Latvia
- Luxembourg
- New Zealand
- Slovenia
- 26 more »
- « less
-
Program
-
Field
-
engineering capabilities in areas such as, but not limited to, electric power and energy systems, telecommunications, digital communications, and applied artificial intelligence (AI). Successful candidates
-
methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
-
Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
-
. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
-
disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
-
possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en