Hebrew University of Jerusalem
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We have 28 algebra PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
algebra PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 28 algebra PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Fast and Reliable Algorithms for High-Performance Numerical Linear Algebra
The project focuses on developing a new generation of numerical linear algebra algorithms that exploit current and future computers. Read more
Cryptography based on tropical algebra
The project is on algebraic cryptography based on tropical algebra or tropical geometry or related mathematical structures. You will cryptanalyze the existing protocols and create new protocols. Read more
Projects in mathematical systems and control theory
Mathematical systems and control theory “represents an attempt to codify, in mathematical terms, the principles and techniques used in the analysis and design of control systems” [1]. Read more
Tropical Optimization
Tropical algebra is linear algebra developed over the max-plus semiring (extended real line endowed with tropical addition `a+b'max(a,b) and tropical multiplication `ab'a+b). Read more
Mathematics
Ranked 17th amongst the world's top 25 mathematics research institutes, faculty and graduates of Hebrew University's Einstein institute of Mathematics include many of the world's leading mathematicians, including a Nobel prize laureate (2005), Fields Medal (2010) and a recipient of the Abel Prize (2020). Read more
Design, Implementation and Evaluation of Non-Cooperative Game Theoretic Models for Cyber Security
Cyber security is the assessment of, responding to and monitoring of the security of the cyberspace. It is difficult to pin down to one single scientific discipline, but rather relates to a number of domains and fields such as physical security, network security, security assessment frameworks and the human element. Read more
Developing and Applying Probabilistic Tracking Methods for Bumblebee Learning Flights and Foraging
Using the latest probabilistic machine learning techniques, you will develop systems for tracking insects in 3d and across the landscape, take part in field work to discover the secrets of bumblebee navigation and behaviour. Read more
Reinforcement learning based discovery of numerical algorithms
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
Explainability in Extreme Classification
Classification of data to a few relevant categories selected from an extremely large number of all possible labels, also referred to as Extreme Classification, has found numerous applications including recommendation systems, information retrieval and Question-Answering. Read more
Delay-induced stabilisation of dynamical systems
Time delays are often the source of system instability. There are many examples of nonlinear or distributed parameter systems where an arbitrarily small input or output delay destabilises the system. Read more
Macroscopic traffic control and optimisation
Traffic flows are the bloodstreams of a developed country. A failing transportation system impedes economic growth and deteriorates human lives. Read more
Control of multi-agent systems using continuum mechanics modelling
A multi-agent system is a group of interacting dynamical systems. Famous examples are robot swarms, smart grids, traffic flows, communication networks, and transportation systems. Read more
Robust control of distributed parameter systems
A distributed-parameter system is a dynamical system with an infinite-dimensional state space. Such systems are usually described by partial differential equations (PDEs). Read more
Structure evolution in complex alloys by analysis of combinatorial complexes
The last couple of decades have been a period of active development and manufacture of new complex-structured bulk materials, such as TWIP steels, nickel superalloys and high-entropy alloys for novel applications in energy and transport industries. Read more
Machine learning in underwater acoustic communication modems
Machine learning is an approach that is useful when a practical optimisation problem is difficult to describe precisely. This approach has found multiple applications. Read more
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