Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Tallinn University of Technology
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- National Renewable Energy Laboratory NREL
- Chalmers University of Technology
- Cranfield University
- Delft University of Technology (TU Delft); today published
- KU LEUVEN
- National Research Council Canada
- National University of Science and Technology POLITEHNICA Bucharest
- Texas A&M AgriLife
- University of Amsterdam (UvA)
- University of Southern Denmark
- Warsaw University of Technology - Centre for Credible AI
- 4 more »
- « less
-
Field
-
this position will be responsible for conducting research in the area of verification, testing and exploration of artificial intelligence models, active participation in lab meetings, scientific seminars and
-
training and professional development opportunities, holiday leave, accommodation in NUSTPB residences, banking facilities, access to research infrastructure, and software for remote working. Eligibility
-
limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
-
models, real-time telemetry, and AI-enhanced analytics, the research aims to enable continuous simulation and verification across the entire ECU lifecycle—from early model-in-the-loop design to deployment
-
Institute and will be working together with researchers from QuSoft . This PhD project aims to push the state-of-the-art in quantum compilation, verification and/or classical simulation. The exact project
-
from software error discovery to mitigation based on modern active learning. Job Description You will research the state-of-the-art in AI and apply it to real-world software problems at our industrial
-
Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state
-
standards. -Experience with data visualization, automation, and software development for data science. -Knowledge of crop modeling, simulation tools (APSIM, DSSAT, APEX), or digital twins is a plus. -Strong
-
new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
-
techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing