268 machine-learning-phd positions in Sweden

PhD student in Machine Learning focusing on Sequential Decision-Making

that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization

PhD student in Machine Learning focusing on Sequential Decision-Making

subjects are valued: estimation theory, machine learning, optimization, signal processing, system identification, and control theory. Rules governing PhD students are set out in the Higher Education

PhD student in Machine Learning

your application! We are looking for a PhD student in Machine Learning. Your work assignments The research focus for the advertised position is machine learning for forensic science. The project involves

PhD student in Application of Machine Learning to Advance Bathymetric Seafloor Mapping and Data Compilation

been directly mapped. This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super

PhD Student in Applied Physics - Accelerating Nanomaterial Growth Simulations with Machine Learning

Description In this project we will extract affordable potentials from expensive DFT results through machine learning (ML) to accelerate nanomaterial growth in MD simulations. Such interactomic potentials

Phd students in System Security, Formal Verification and Machine Learning

with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP

PhD student in AI / Machine Learning - Reinforcement Learning

This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance

PhD student in Computing Science with focus on machine learning for continuous and discrete structures

graph based machine learning for discrete and continuous structures, led by Frank Drewes, Johanna Björklund, and Henrik Björklund. The PhD student will work within the context of the STING (Synthesis and

PhD student in Computing Science with focus on machine learning for continuous and discrete structures

education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous

PhD student in Scientific Computing focusing on Scientific Machine Learning

subjects are valued: optimisation, probabilistic machine learning, linear algebra and deep learning. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in