PhD in mathematics scholarships for International students [complete directory]

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In his blogpost, PhD in mathematics and computational sciences scholarships are added in form of directory. At the start, a little introduction about subjects and scope of PhD is given. After that, the directory of scholarships in the form of the table is given for your consideration.

Scroll
to bottom of page for complete directory of PhD in mathematics scholarships.

Subjects
covered here are:

PhD in Mathematics

PhD in Computational Sciences

PhD in Mathematics

PhD in
mathematics is a challenging program with hard work of coursework, researches,
thesis, seminars and teaching etc. the dissertation is to be prepared for this
program to earn a degree which is always under the supervision of a professor. Generally,
the program is of about three to five years in which different domains will be
our subjects to work on i.e. coding theory, dynamical system, financial
mathematics, set theory and statistics. Mathematical logic, statistical,
mathematical analysis, topography and stochastic method will be the dose of
courses throughout the year.

PhD in mathematics
programs

Mathematics is broad filed linking directly with computer science, machine learning and many other fields involving programming. There are many PhD scholarships for mathematics lovers in the directory of Physics, and computer science. For people searching for PhD scholarships, the following are best schools for their early-stage research career in the field of mathematics:

MIT

Harvard University

Stanford University

Oxford University

University of Cambridge

Princeton university

PhD in Computational
sciences

Computational sciences are
somewhat similar to mathematics except its closer to practical problems.
Mostly, mathematics deals with theoretical aspect of problems encountering in
natural sciences subjects, however, in case of computational sciences,
numerical models are made for that specific problem to actually bring some
solution or data gathering.

Computational sciences are closer
to natural sciences faculties. It works directly in connection with several
faculties making it highly interdisciplinary field.

In case of natural sciences, Computational science PhD focuses on data collection, data analysis, and interpretation of solution. In case of Statistics, computations and symbolic processing are main part of degree. In case of Engineering, computational sciences mainly focus on life and durability of product. It helps in designing and fabricating of new object.

Directory updated: March 23, 2020

PhD in Mathemtatics scholarships [complete directory]

PHD Title

Deadline

Eligible Nationality

Country

Subject

Project Description

Scholarship Link

Computational identification of new functional materials combining machine learning and structure prediction

30/06/2020

All

University of Liverpool, UK

Material science, computer science, applied math, physics, chemistry

The student will learn how to apply and develop machine learning and structure prediction tools to identify new candidate materials which will be synthesised by experimental collaborators within our research team. The student will work closely with computer scientists, inorganic chemists, physicists, and material scientists to develop and apply software tools

Designing efficient search strategies for new material discovery in complex phase and data space

30/06/2020

All

University of Liverpool, UK

Material science, computer science, applied math, physics, chemistry

this project will explore optimization methods and routines to develop optimal search strategies for new materials in high-dimensional search spaces, beginning with a single batch of data points, and expanding towards multi-batch searches incorporating information gained from previous batches.

The successful candidate is supposed to apply and extend modern deep learning techniques to large amounts of 3D point cloud data that stems from drone-based Lidar systems. Developing computationally efficient methods is of particular importance as the models will eventually be applied to datasets containing billions of point measurements.

Computational Uncertainty Quantification for Hybrid Inverse Problems

01/05/2020

All

Denmark

Computational science, applied mathematics

In this PhD project, you will work on UQ for hybrid inverse problems. Such problems appear for instance in photo-acoustic tomography and acousto-electric tomography, where two different physical phenomena interact and allow for the measurement of so-called hybrid data

Advanced Mathematical Optimisation in Materials Chemistry

30/04/2020

All

University of Liverpool, UK

Material science, computer science, applied math, physics, chemistry

The student will work in the interface between Computer Science and Chemistry to apply advanced mathematical optimisation tools, such as semidefinite programming, to challenging problems in material discovery. During the project the student will have the opportunity to learn necessary topics from Materials Chemistry, Optimisation and Software Engineering

the material constraints of the energy and climate transition

The project aims to answer the fundamental questions below: Will there be supply chain bottlenecks of critical materials, either geotechnically or geopolitically, in our climate and energy transition in the next decades? And how can we address resource constraints with dynamics in technological and societal development along the entire value chain?

Quantum Mathematics

13/04/2020

All

Denmark

Math (geometry, topology)

The PhD candidate is expected to perform high-quality research as a part of the research project “Recursive and Exact New Quantum Theory (ReNewQuantum)” funded by an ERC-Synergy Grant from the European Research Council. ReNewQuantum is an ambitious project with a new approach to Quantum Theory based on advanced geometric and topological constructions.

PhD stipends in Statistics, Mathematical Biology, and the mathematics of Insurance and Economics

01/04/2020

All

Denmark

Computational science, statistics, ecnomics, math

A number of attractive PhD stipends in statistics, mathematical biology, and the mathematics of insurance and economics are available at Department of Mathematical Sciences, Faculty of Science, University of Copenhagen.

Multiple PhD scholarships in mathematics

01/04/2020

All

Denmark

Mathematics

Follow the link for more details

two PhD in Computational Fluid dynamics

25/03/2020

All

Aalborg, Denmark

Mathematics, physics, computer science

The main aim of the InterFlow project is to develop accurate and efficient numerical methods improving our ability to simulate fluid flows involving complex fluid interfaces.

statistical modeling of gene expression and its application in forensic medicine

20/03/2020

All

Aalborg, Denmark

Mathematics, Computational science

The main focus of the PhD project will be on sudden cardiac death. The types of investigations are new and generate large amounts of data with complicated relations to each other as well as to diseases and phenotypical traits.

Heat pump assisted distillation for the energy efficient separation of the liquid phase products from anaerobic digestion - LEVERHULME

28/02/2020

UK

University of aberdeen, UK

chemical engineering, mathematics, mechanical engineering

In link given, lots or projects of given. For this specfific project, find the title same as project title here. Funding is given for international students but differennce of tution fees must be paid by international student

Project SeReNity

25/05/2020

All

Netherland

Computer science, Math

The goal is to develop methods and techniques to effectively and timely extract and communicate information on security incidents to the (human) analysts operating the SOC.

PhD student project FORWARDT

13/05/2020

All

Netherland

Mathematics, computer science, physics

The task of the PhD student will be to (i) design dynamic tracing algorithms to counter multi-channel attacks; (ii) attack and analyze these algorithms; (iii) try out untested approaches such as machine learning and countermeasures at the embedding layer.

Dynamic metamaterials metafoams for acoustic insulation

Dynamic metamaterials metafoams for acoustic insulation

Scientific Computing

03/04/2020

All

Netherland

Mathematics, physics

Follow the link for more details

Developing an image-based simulation tool for cardiovascular biomechanics

31/03/2020

All

Netherland

Mathematics, physics, Mechanical engineering

As part of this project, the generation of analysis-suitable three-dimensional heart models based on scan-data is considered, which will be based on novel robust advanced discretization techniques.

Complete Vehicle Energy Management for Long-Haul Coaches

26/04/2020

All

Netherland

Math, physics, electrical engineering, system and control, mechanical engineering

The project includes concepts for connected and digitalised fleet management, predictive maintenance and operation in relation to electrification where appropriate to maximise the emissions reduction potential.

PhD NETWORKS

14/04/2020

All

Netherland

Mathematics

We aim to approach these problems in a mathematically rigorous way, and we expect the candidate to have some experience in formally proving results. Some experience with simulations is welcome, though not required.

Continuous improvement of machines through verified software update

You are expected to extend and improve the existing translation of low-code models into mCRL2 to enable verification.

PhD and Postdocs in Security and Privacy

31/03/2020

All

Netherland

Computer science, mathematics

Its research focus spans from security deployment and management, to physical security and attack engineering.

Biomolecular Simulation

01/05/2020

All

Netherland

Computational science, physics, life science, chemistry

You will develop a computational approach to predict the number of accessible DNA in various conditions, using molecular simulation methods such as all-atom molecular dynamics simulations in combination with rare event techniques and a coarse-grained description of proteins binding to DNA

You will focus on identifying as well as modeling (mathematical/computational) the dynamics of adaptation to different opportunities as well as to different intervention strategies by law enforcement. Modern criminal networks are often grown in a bottom-up manner and are known to be resilient against (easily adapt to) different intervention strategies.

This PhD project is a close collaboration between the Computational Science Lab and the Intelligent Sensory Information Systems at the University of Amsterdam; both world-leading labs in vision, learning and computational sciences, situated next to other renowned AI labs like AMLab and ILPS with top AI researchers. This work combines the state-of-the-art research activities of both PIs of the project (Dr Efstratios Gavves and Dr Rick Quax), who will closely supervise you.

The intersection of deep learning, causality, and information theory

This PhD project is a close collaboration between the Computational Science Lab (CSL, promotor prof. Peter Sloot) and the Amsterdam Machine Learning Lab (AMLAB, promotor prof. Max Welling).

Spatio-temporal knowledge graphs from videos

01/04/2020

All

Netherland

Computer science, data science, mathematics

this position aims to move away from global action recognition and make the challenging step towards localized spatio-temporal understanding of all actions and entities in a video. Acquiring such an understanding requires novel contributions at the intersection of computer vision, knowledge-based semantics, and graph-based deep learning.

Designing high-performance user behaviour models in information retrieval

01/04/2020

All

Netherland

Computer science, data science, mathematics

This brings together the different fields of expertise and creates the synergy and creativity needed for innovative approaches. To strengthen collaboration we have opened six cross-theme PhD positions on various scientific challenges.

Resurgence and renormalons in QFT

15/04/2020

All

Netherland

Physics, Mathematics

The goal of the project is to apply the ideas of resurgence in the setting of quantum field theories, in particular to the study of renormalon effects in QFTs and in particle physics phenomenology.

Mathematics of Quantum Algorithms

15/04/2020

All

Netherland

Computer science, mathematics, physics

The goal of this project is to develop quantum algorithms for problems where both the input and output are quantum states as opposed to classical bit strings.

Dissipative and Active Metamaterials

01/05/2020

All

Netherland

Physics, math, computational science

In this project you will research how the extreme mechanics of metamaterials (i) can be used to achieve on-demand dissipation of shocks and vibrations and (ii) can be revolutionized by the use of active processes.

Topological graph theory

19/04/2020

All

Netherland

Mathematics

In this project you will work on complexity measures of spatial graphs under the supervision of Senja Barthel.

PhD - Junior Lecturer position in Mathematics

19/04/2020

All

Netherland

Mathematics

The research can be in any area of applied or pure mathematics that falls within the expertise available in the department.

PhD position in Computational Mathematics

19/04/2020

All

Netherland

Computational mathematics

ou will study and implement methods for spatio-temporal patterns in a novel class Yof neural field models, which are relevant to understand epileptic seizures, visual hallucinations and short-term working memory.

The goal of the project is to develop optimal combinations of terrestrial and space-geodetic techniques, to obtain up-to-date, high-detail, wide-area, and accurate empirical information about the actual movements of the surface over delta areas, to be attributed to various processes in the subsurface.

PhD Student in the Distributed Systems Group

25/04/2020

All

Netherland

Computer, mathematics

The research objective of this PhD project is to derive scalable distributed algorithms for (deep) machine learning models.

PhD position in theoretical probability

30/04/2020

All

Netherland

Math

The PhD project aims at understanding a long-standing question in analysis and probability, namely how to define functions of (random) distributions.

Safe Cooperation of Autonomous Vehicles in Mixed Traffic

In this project, you as a PhD candidate will investigate how to design a motion planner for an autonomous vehicle that: (1) deals with mixed-traffic uncertainties and faults to avoid collisions and deadlocks by discriminating between local and propagated faults; (2) estimates these uncertainties and faults in the local motion planning; (3) combines the design of the undertainty estimation, fault detection and isolation and local motion planning.

Dynamic and Stochastic Fleet Management Models for Transportation and Logistics

31/05/2020

All

Netherland

Transportationa engineering, industrial engineering, math

In this project, you will develop mathematical models for (i) strategic level decisions (i.e., fleet sizing, fleet mix and facility location) considering also the behavioral shift towards water transportation, and (ii) operational level decisions, namely routing, with dynamic and stochastic vehicle routing problems together with efficient solution algorithms.

Numerical Analysis

15/05/2020

All

Netherland

Mathematics

The objective of the project is to develop low-rank tensor product approximations for the radiative transfer equation.

Numerical methods for quasicrystals

15/05/2020

All

Netherland

Mathematics

The focal point of the research is numerical analysis and method development. We offer full access to state-of-the-art computer resources.

CFD-DEM modelling of power mixing systems

15/04/2020

All

Netherland

Mechanical enigneering, math

In this PhD project CFD-DEM (project 3 of 4) simulations will be performed to study powder filling and mixing in complex industrial systems like the stirred bed reactors.

PHD RMFS Project

11/04/2020

All

Netherland

mathematics

This project aims to develop a flexible hierarchical statistical framework for the analysis and prediction of various types of fires and will be carried out in close cooperation with the Twente Fire Brigade.

A major goal of the doctoral project is to investigate in large collections of patients and control individuals the relationship between known risk genes, living habits and the expression of low molecular weight substances (metabolites) in blood to investigate the risk of suffering from multiple sclerosis.

Two PhD positions in Privacy-preserving Biometric Authentication

16/04/2020

All

Sweden

Computer science, Mathematics

Cadidatee is needed for research on fields ranging from secure and private computing, cryptographic primitives, secure and private machine and or distributed learning, vehicular security, authentication, intrusion detection and response.

Secure and Private Machine Learning Mechanisms

03/04/2020

All

Sweden

Computer science, Machine learning, mathematics

the main aims of the project are to: (i) Safeguard the privacy of individuals that participate by either providing their data to build the AI system or being end-users of the system, (ii) safeguard the integrity of the system by ensuring its robustness to adversarial inputs and cryptographically limiting the possible points of adversarial manipulation.

This project will investigate the achievable levels of secure and automated operation of optical networks by addressing the related theoretical and practical challenges. Cognitive network management based on data analytics and machine learning techniques will be at the center of this project.

Data Representation and Machine Learning over Networks

The primary purpose of this position is to conduct a research on the challenges and solution for machine learning over networks with abundant examples from internet-based AI to next-generation mobile communication networks and ML in medical disciplines.

PhD student in Computational Mathematics

23/04/2020

All

Sweden

Computational sciences

Follow the link for more details

Mathematical Statistics

23/04/2020

All

Sweden

mathematical statistics

Follow the link for more details

03 PhD students in Mathematics

23/04/2020

All

Sweden

math

Follow the link for more details

Multiple Doctoral students in mathematics

23/04/2020

All

Sweden

math

Applied topolgy, complexity theory, geometric combinations, algebric combinators are fields of research

Computational Science and Engineering

13/04/2020

All

Sweden

computational science, programming

This project focuses on the development of mathematical methods and tools for investigation and future development of deep neural networks. In particular we will investigate the imposition of scale separation in deep neural networks for improved robustness and explainability.

PhD in mathematics

19/04/2020

All

Belgium

Mathematics

Follow the link for more details

Markov chain Monte Carlo methods for Bayesian data assimilation with application to structural health monitoring

30/06/2020

All

Belgium

Applied mathematics

In this project, the focus will be on the fundamental problems of developing a framework for Bayesian inference for FE model updating relying upon full-field data and imperfect models. We will consider an approach where the data is treated as a genuine field, rather than a vector with a limited number of entries.

Human Centric Lighting

31/05/2020

All

Belgium

Physics, medicine, life sciences, mathematics, electrical engineering, pyschology, architecture

The main research topics are Indoor lighting, Optical design, Appearance & Perception and Metrology. Within each topic, PhD research activities, generating new knowledge, are combined with numerous development projects with lighting companies.

Operator Algebras

13/04/2020

All

Belgium

mathematics

We are looking for PhD students doing research in Operator Algebras under the supervision of prof. Gábor Szabó or prof. Stefaan Vaes.

Model order reduction methods for fast parameter estimation and updating of digital twins of mechatronic systems.

12/07/2020

All

Belgium

physics, mathematics, mechanical engineering

This PhD track focuses on the development of model order reduction (MOR) schemes which allow for the transformation of expensive flexible multibody and (nonlinear) finite element models into lower cost (parameterized) counterparts which are sufficiently small and are tuned for inclusion in a parameter estimation framework.

This project focuses on new developments in a popular Bayesian phylogenetic and phylodynamic inference framework (BEAST: https://github.com/beast-dev/beast-mcmc) and its applications to important evolutionary problems, with a particular focus on infectious diseases.

Markov chain Monte Carlo methods for Bayesian data assimilation

30/06/2020

All

Belgium

mathematics, computer science

This project aims at developing micro-macro Markov chain Monte Carlo methods for data assimilation that reduce the computational cost associated with computing the likelihood for high-dimensional processes.

PhD Researcher in the field of DISCRETE CHOICE EXPERIMENTS

It requires statistical modeling, optimization and programming. You are also expected to participate in seminars and conferences, be internationally mobile and to enroll in the PhD program of the Faculty of Economics and Business.

influence of management practices on school district performance

Besides its policy relevance for lifelong learning, the question is academically relevant as the conventional practice in the literature to measure the returns to schooling is to consider education as a continuous variable measuring the number of years of schooling and ignores the role of studies later in life.

Predictive control and estimation in sensor-based robot tasks

Model predictive control (MPC) is a natural paradigm for rendering the controller proactive, and central in this PhD project: MPC solves at every time instant an optimal control problem to compute optimal future control actions given a model of the system and its environment.

Two-way meso–micro coupling for wind farm planning, forecasting and nowcasting

The micro-scale model SP-Wind, a Large-Eddy Simulation code developed at KU Leuven, will be used to obtain highly detailed data sets for the development and validation of the atmospheric perturbation model.

The PhD will work on developing the algorithm for the forecasting of the wind resources. The algorithm will be based on the operational weather forecasts adjusted for the effect of feedback processes using mesoscale atmospheric model integrations at a resolution of 0.3 km together with an atmospheric perturbation model developed by KU Leuven

Healthcare analytics

All

Switzerland

Mathematics, Statistics, computer science

Our research is driven by the strong desire to conquer the grand challenges of our society, such as better disease management. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to gain deep insights.

Applied data analytics

All

Switzerland

Mathematics, Statistics, computer science

Our research is driven by the strong desire to conquer the grand challenges of our society, such as healthcare, the spread of fake news or decision-making of public authorities. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to gain deep insights.