PhD Decentralised Machine Learning

PhD Decentralised Machine Learning 36-40 hours per week Challenge : Developing and building a fully decentralised video search engine.Change : Eliminating the need for servers when developing machine learning.Impact : Safe machine learning benefiting billions of users.Job description Billions of mobile devices mean unprecedented computing power and a surge...

PhD Decentralised Machine Learning 36-40 hours per week Challenge : Developing and building a fully decentralised video search engine.Change : Eliminating the need for servers when developing machine learning.Impact : Safe machine learning benefiting billions of users.Job Position With the growing number of mobile devices, there is an incredible increase in...

We are seeking for a highly-skilled and self-motivated candidate with a strong mathematical background to do a Ph.D. on the fundamental aspects of graph machine learning with applications to renewables.Job descriptionGraphs are playing an ever increasing role in nowadays systems as a flexible tool to model complex systems. In addition, these systems generate...

We are seeking for a highly-skilled and self-motivated candidate with a strong mathematical background to do a Ph.D. on the fundamental aspects of graph machine learning with applications to renewables.Job descriptionGraphs are playing an ever increasing role in nowadays systems as a flexible tool to model complex systems. In addition, these systems generate...

Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning! Job description We are seeking a highly motivated PhD candidate to join our research team focused on enhancing plant resilience using cutting-edge data analysis and machine learning techniques. This exciting...

Job description Metals play a critical role in the sustainable technological growth of our society. With recent breakthroughs in materials discovery, several new sustainable alloys are on the horizon. However, determining how these materials behave and optimizing methods for processing of these materials is a challenge. This is largely due to the...

Job description We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision-making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees...

Reinforcement learning has led to major breakthroughs, from beating champions in complex games to enabling autonomous navigation. However, the limited understanding of how reinforcement learning algorithms work restricts their application to problems requiring robust and predictable solutions. Are you driven by a fundamental understanding of reinforcement...

Reinforcement learning has led to major breakthroughs, from beating champions in complex games to enabling autonomous navigation. However, the limited understanding of how reinforcement learning algorithms work restricts their application to problems requiring robust and predictable solutions. Are you driven by a fundamental understanding of reinforcement...

Job descriptionClimate change and the race to decarbonize our society is making extreme events in fluids more prevalent. These are rare events where the flow suddenly takes extreme states far from its normal state. Among these, one can cite extreme atmospheric events leading to intense draught, rogue waves capable of capsizing boats, or flashback events in...

Job description We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision-making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal...

Data Scientist  GeoSignum is currently looking for a highly skilled and enthusiastic team member who has a background in computer science, applied mathematics, Geomatics/geo-informatics, computer vision,Informatics,Artificial Intelligence or similar fields.  About Us GeoSignum is a high-tech start-up company based in Delft and member of the...

Data Scientist  GeoSignum is currently looking for a highly skilled and enthusiastic team member who has a background in computer science, applied mathematics, Geomatics/geo-informatics, computer vision,Informatics,Artificial Intelligence or similar fields.  About Us GeoSignum is a high-tech start-up company based in Delft and member of the...

Job description Enabling machines to interpret social behaviour in real life is a major frontier of Modern Artificial Intelligence (AI). The first step in developing socially intelligent systems that can help people to improve their social lives involves developing robust machine perception models. Unfortunately, there is almost no attention on...

Job description Enabling machines to interpret social behaviour in real life is a major frontier of Modern Artificial Intelligence (AI). The first step in developing socially intelligent systems that can help people to improve their social lives involves developing robust machine perception models. Unfortunately, there is almost no attention on...

PhD Position Enhancing Plant Resilience through Biologically-Inspired Machine Learning- Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning! Job description The project is part of the Crop-XR program, a highly collaborative 10-year national initiative of...

Job description A cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient...

Job description A cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient data-driven surrogate...

Job description A cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient...

PhD Position Enhancing Plant Resilience through Biologically-Inspired Machine Learning-Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learningJob descriptionThe project is part of the Crop-XR program, a highly collaborative 10-year national initiative of universities...