The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Campus Odense, invites applications for one PhD candidate position in Computer Science, fully funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the […]
Post-Doctoral Fellowship in Data Analytics in Brazil
A post-doc fellowship is open at the Atmospheric Physics Laboratory at the University of São Paulo’s Physics Institute (IF-USP) in Brazil. The post-doc will work with machine learning models in association with climate models. Collaborators within the Thematic Project will perform simulations with global climate models with different scenarios of deforestation and forest degradation in […]
Artificial Intelligence: How to make Machine Learning Cyber Secure?
How to prevent machine learning cyberattacks? How to deploy controls without hampering performance? The European Union Agency for Cybersecurity answers the cybersecurity questions of machine learning. Machine learning (ML) is currently the most developed and the most promising subfield of artificial intelligence for industrial and government infrastructures. By providing new opportunities to solve decision-making problems […]
Remote Sensing Expert in Serbia
Description BioSense Institute cross-fertilizes two vital sectors of today: ICT and agriculture. Recognizing that ICT plays a pivotal role in ensuring sustainable, smart and inclusive growth of agriculture, we focus on multidisciplinary, game-changing and needs-driven research in nano and microelectronics, new materials, communications, signal processing, remote sensing, biosystems, artificial intelligence, IoT and big data, driven […]
PhD studentship in Future Machine Learning Systems in the UK
One fully funded PhD position to work with Dr. Luo Mai in the School of Informatics at the University of Edinburgh, on a project titled “Future Machine Learning Systems”. Objective The aim of this project is to design and implement future software systems for large-scale machine learning. The proposed systems are expected to significantly improve […]