KTH Royal Institute of Technology’s School of Electrical Engineering and Computer Science is seeking a doctoral student in probabilistic machine learning.
Project description
Third-cycle subject: Information and Communication Technology
We invite applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp to work on the reliability and trustworthiness of machine learning models.
You will work with open-source large-scale machine learning models, develop theoretical and methodological work to improve the reliability and trustworthiness of those models, develop open-source libraries, and publish in top-tier machine learning venues (NeurIPS, ICML, ICLR, UAI, AISTATS). Moreover, you will have ample opportunity to collaborate with researchers working on trustworthy machine learning.
