Vacancies

Vacancies


 

PhD in Machine Learning and computer vision for maintenance of road infrastructure

 

PhD in Machine Learning and computer vision for maintenance of road infrastructure

The vision of Norwegian Public Roads Administration (NPRA, Norw.: Statens vegvesen) is to contribute to national goals for the transportation system. These goals are safety, promoting added value in society, and promoting change towards lower global emissions. The road system in Norway is large and complex, and the geography of Norway raises a range of challenges in this area with respect to maintenance which will be given priority compared to new large road investments in the coming years

Application deadline March 25th. See this link to learn about the position.


 

PhD fellowship in artificial intelligence

PhD fellowship in artificial intelligence

The doctoral candidate will investigate and design artificial intelligence systems that combine machine learning, control theory, and robotics with the goal of achieving human-like performance in the robotic manipulation of 3D compliant objects. This will require AI methods such as Deep Learning (DL), Reinforcement Learning (RL), Deep Reinforcement Learning (DRL) and their integration with multimodal sensors (visual and tactile) and complex actuators (robot arms, hands and fingers).

Application deadline March 20th. Learn more about the position here.


4 PhD positions within Explainable AI

4 PhD positions within Explainable AI

We are looking for four ambitious and highly-motivated individuals with a Master’s degree in engineering cybernetics, computer science, control engineering, applied mathematics, or a related discipline to contribute to developing Explainable AI as part of the EXAIGON project. 

The EXAIGON project will deliver research and competence building on XAI, including algorithm design and human-machine co-behaviour, to meet the society’s and industry’s standards for deployment of trustworthy AI. 

Learn more about the four positions here. Application deadline is April 27.