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source

Dr Z Wu

1 year ago

Machine Learning for Multiscale Simulations of Polymers with First-Principal Accuracy Xi’an Jiaotong-Liverpool University in China

Degree Level

PhD

Field of study

Biochemistry

Funding

Fully Funded

Deadline

Expired

Country flag

Country

China

University

Xi’an Jiaotong-Liverpool University

Social connections

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Where to contact

Official Email

Keywords

Biochemistry
Computer Science
Data Science
Machine Learning
Experimental Physics
Materials Science
Biostatistics
Nanotechnology
Physical Chemistry
Artificial Intelligence
Computational Chemistry
Molecular Modeling
Quantum Mechanics
Polymer Chemistry
Theoretical Chemistry
Computational Science
Biopolymer Science
English Language Teaching
Computer Engineering
Molecular Simulation
Conductive Polymers
Mathematical Biology
Soft Matter Physics
Materials Chemistry
Polymeric Materials
Biopolymer
Molecular Mechanics
Bone Matrix-mimetic Biomaterials
Applied Mathematics
Research Group
Doctoral Programmes
Ielts
Supervisors
Xjtlu
Doctoral Scholarship
Research Study Visit
Ml Techniques
Multiscale Simulations
Theoretical Infrastructure
First-principle Accuracy
Computational Infrastructure
Spatio-temporal Scales

About this position

Molecular simulations have become an invaluable tool in the development of polymer science and engineering. Inherently constrained by their complexity, the application of common molecular simulation methods for predicting the behavior of polymer systems is however not entirely satisfactory and therefore novel methods are needed particularly for simulations at large spatio-temporal scales. Recently, the integration of machine learning (ML) into the realm of computational chemistry has ushered in a new era of scientific progress, overcoming the longstanding challenges posed by the computational intricacies associated with conventional quantum and molecular mechanical approaches. This project aims to develop a general and consistent multiscale molecular simulation framework for polymeric materials with first-principle accuracy using advanced ML techniques, holding the potential to advance our theoretical and computational infrastructure for accelerating polymeric materials design.For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU), please visit:https://www.xjtlu.edu.cn/en/admissions/global/entry-requirements/https://www.xjtlu.edu.cn/en/admissions/global/fees-and-scholarshipSupervisors:Principal supervisor: Dr. Zhenghao Wu (XJTLU)Co-supervisor: Dr. Lifeng Ding (XJTLU)Co-supervisor: Professor Alessandro Troisi (UoL)Requirements:The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Chemistry/Physics/MathematicsEvidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.Degree:The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.Funding:The PhD studentship is available for three years subject to satisfactory progress by the student. The award covers tuition fees for three years (currently equivalent to RMB 99,000 per annum). It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. The scholarship holder is expected to carry out the major part of his or her research at XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool up to six months, if this is required by the project.How to Apply:Interested applicants are advised to email [email protected] (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).CVTwo formal reference lettersPersonal statement outlining your interest in the positionCertificates of English language qualifications (IELTS or equivalent)Full academic transcripts in both Chinese and English (for international students, only the English version is required)Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports availableContactPlease email [email protected] with a subject line of the PhD project title.The principal supervisor’s profile is linked here:https://scholar.xjtlu.edu.cn/en/persons/ZhenghaoWuhttps://wuresearchgroup.github.io/

Funding details

Fully Funded

How to apply

? Interested applicants should email [email protected] with the project title in the subject line and provide a CV, two reference letters, personal statement, English language qualifications, academic transcripts, and a writing sample.

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