13 phd-machine-learning positions at Uppsala universitet

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 positions at the Department of Economic History

to learn Swedish during their time as PhD-students. For some specific projects, it may be a required that the applicant masters Swedish from the beginning. PhD candidates are expected to work on campus

PhD student in data drive life science - Chemistry

data-driven. Will you be part of that change? Then join us in this unique program! Your goal will to leverage cutting-edge machine learning methodologies to extract conformational ensembles from single

Postdoctoral position in Biomedical Engineering with focus on machine learning for organs-on-chip

on earlier and on-going research on automated data collection in organs-on-chip, a new project is now being initiated to explore how machine learning and the combination of different types of data (optical and

PhD student in Social Cybersecurity

analysis and text analysis, and advanced knowledge of programming, data mining, and machine learning are valued. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7

PhD student in Computerized Image Processing with focus on Applications in Biomedicine

. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in computer science, image analysis and machine learning, mathematics or similar, or have

Postdoctoral position in Deep Learning with a focus on Vision-Language Models

Intelligence Research. Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and relevant field or a foreign degree equivalent to a PhD degree within machine learning

PhD student in social robotics with focus on large language models and cybersecurity

(preferably Python) and documented ability to conduct user studies are valued. Experience with large language models and machine learning for human-robot interaction is valued. Rules governing PhD students

Postdoctoral position in in Distributed Machine Learning for Intrusion Detection Systems in the IoT

, machine learning, information security, and data analysis. Further, experience with federated learning, transfer learning, GAN, and programming of distributed systems is helpful. The application must

Postdoctoral fellow in Machine Learning with applications in medicine

foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer vision, computational statistics or another nearby and relevant field. The degree needs to be obtained by