23 applied-linguistics PhD positions at Delft University of Technology in Netherlands
Sort by
Refine Your Search
-
Are you passionate about renewable energy and eager to combat climate change? Apply for a PhD position in Floating Offshore Wind Energy and help pioneer the future of sustainable energy production
-
to support first responders in their crowd crises decisions, yet the increasing use of AI has led to a debate about its legal and ethical implications. In this PhD project, we specifically focus
-
Investigating and exploiting the secret language of gestures and body movements in conversations. Enabling machines to interpret social behaviour in real life is a major frontier of Modern
-
of the project. Therefore, the ability to communicate effectively and interact in a workgroup is highly valued. Most important is the student's motivation to use fluid dynamics knowledge to contribute solving
-
. The Applied Probability research group within the Delft Institute of Applied Mathematics at TU Delft (see https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathematics ) is offering a full-time
-
Are you passionate about aerodynamics and our transition to sustainable transport? Apply for one of our PhD positions in our Wind Assisted Ship Propulsion program. The maritime industry is under
-
does it mean to organise the ecosystem of businesses and organisations that are developing quantum technology such that this technology realises the public good? Innovation ecosystems tend to have
-
, or related fields; A good understanding of at least one of the following areas: machine/deep learning, large language models, Transformers, NLP, and ability to apply these for static code analysis; Strong
-
candidate in the CoCoGel network, you will participate in collaborative and training activities hosted by the network partners. You will be based at Delft University of Technology and, as part of your PhD
-
Developer-AI collaboration; How can we seamlessly integrate Large Language Models into the developer's toolbox? Context: An essential part of the success of Large Language Model (LLM)-based tools