Computational Modelling of Advanced Functional Materials PhD 36 months PHD Programme By Loughborough University |TopUniversities
Programme Duration

36 monthsProgramme duration

Tuitionfee

29,500 GBPTuition Fee/year

Application Deadline

30 Apr, 2027Application Deadline

Starting Month

Feb, Jul, OctStarting Month

Programme overview

Main Subject

Materials Sciences

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Molecular materials have the promise of revolutionising electronics by providing low-cost and sustainable alternatives to silicon-based devices. Within this project, you will study molecular materials and, specifically, how molecules interact with light, providing the basis for new light sources, solar cells, and sensors. Computations will be performed on newest-generation materials being synthesised by collaborators at the University of Cambridge, University of Vienna, and Loughborough University.

The specific project can be tailored to your interests from Dr Plasser’s research portfolio. Your work may encompass luminescence of doublet emitters, singlet fission for next-generation solar cells, battery anodes based on macrocyclic molecules, or luminescent anion sensors made from lanthanide complexes.

During this project, you will join Dr Plasser’s group at Loughborough to perform cutting-edge research in computational chemistry, jointly with experimental collaborators. You will learn how to run a variety of quantum chemistry computations and how to interpret the results in terms of relevant materials properties. You will learn how to deal with large amounts of data, automate the required tasks using scripting languages, and have the chance to acquire more sophisticated computer programming skills. You will also learn how to communicate results with colleagues working in experiment and theory via posters, oral presentations, and scientific publications.

At the end of this project, you will be able to carry out analogous work independently in industry or academia. In addition, you will have a firm background in IT skills and data analysis.

Programme overview

Main Subject

Materials Sciences

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Molecular materials have the promise of revolutionising electronics by providing low-cost and sustainable alternatives to silicon-based devices. Within this project, you will study molecular materials and, specifically, how molecules interact with light, providing the basis for new light sources, solar cells, and sensors. Computations will be performed on newest-generation materials being synthesised by collaborators at the University of Cambridge, University of Vienna, and Loughborough University.

The specific project can be tailored to your interests from Dr Plasser’s research portfolio. Your work may encompass luminescence of doublet emitters, singlet fission for next-generation solar cells, battery anodes based on macrocyclic molecules, or luminescent anion sensors made from lanthanide complexes.

During this project, you will join Dr Plasser’s group at Loughborough to perform cutting-edge research in computational chemistry, jointly with experimental collaborators. You will learn how to run a variety of quantum chemistry computations and how to interpret the results in terms of relevant materials properties. You will learn how to deal with large amounts of data, automate the required tasks using scripting languages, and have the chance to acquire more sophisticated computer programming skills. You will also learn how to communicate results with colleagues working in experiment and theory via posters, oral presentations, and scientific publications.

At the end of this project, you will be able to carry out analogous work independently in industry or academia. In addition, you will have a firm background in IT skills and data analysis.

Admission Requirements

4.5+
180+
6.5+
120+
65+
3.3+
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in chemistry, physics or a related subject. A relevant Master’s degree and/or experience in computational chemistry will be an advantage.

30 Apr 2027
3 Years
Feb
Jul

  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
5,238 GBP
International
29,500 GBP

Scholarships

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