36 monthsProgramme duration
29,500 GBPTuition Fee/year
30 Apr, 2027Application Deadline
Feb, Jul, OctStarting Month
Programme overview
Main Subject
Materials Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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
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
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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