PhD in Computational Design of Next-Generation Electronic Materials

Laplace Expert Ltd; Greater London; Hybrid; GBP 18,000 - 24,000; Full time

Job summary

University College London is offering a PhD opportunity in Computational Design of Electronic Materials within the Chemistry Department. The project focuses on computational design of next‑generation electronic materials using density functional theory, high‑throughput screening and data‑driven materials discovery.

The record has been enriched from the FindAPhD listing with applicant-facing requirements, skills, funding evidence and source-neutral SEO text where the listing provided sufficient

Qualifications

• First or upper second-class honours degree or equivalent in Chemistry, Physics, Materials Science, Chemical Physics, Computational Science or a related discipline.
• Experience in computational modelling, scientific programming, quantum mechanics, condensed matter physics or materials simulation is desirable but not essential.
• Applications are welcome from UK nationals, EU students with settled or pre-settled status, and students with indefinite leave to remain or enter; studentship covers home fees only.

Education

First or upper second-class honours degree or equivalent in Chemistry, Physics, Materials Science, Chemical Physics, Computational Science or a related discipline.

Tools

Density functional theory

High-throughput computing

Electronic structure methods

Scientific programming

Python

Materials informatics

High-performance computing

Job description

PhD in Computational Design of Next-Generation Electronic Materials

University College London · Department of Chemistry

Apply by 30 Oct 2026

About This Opportunity

University College London is offering a PhD opportunity in Computational Design of Electronic Materials. The project focuses on computational design of next-generation electronic materials using density functional theory, high-throughput screening and data-driven materials discovery.

This PhD opportunity focuses on computational design of next-generation electronic materials using density functional theory, high-throughput screening and data-driven materials discovery. The record has been enriched from the FindAPhD listing with applicant-facing requirements, skills, funding evidence and source-neutral SEO text where the listing provided sufficient evidence.

Computational Design of Electronic Materials Materials Science & Engineering Density functional theory High-throughput computing Electronic structure methods

Level PhD

Duration 4 years

Reference Code p198727

Field Computational Design of Electronic Materials

Specialization Materials Science & Engineering

Organization Type University

Funding & Compensation

Amount Partially Funded

Funding Type Stipend

Funding Status Partially Funded

Tuition Coverage Partially Covered

Stipend Yes

Requirements

Education

First or upper second-class honours degree or equivalent in Chemistry, Physics, Materials Science, Chemical Physics, Computational Science or a related discipline.

Experience

Experience in computational modelling, scientific programming, quantum mechanics, condensed matter physics or materials simulation is desirable but not essential.

Technical Skills

• Density functional theory
• High-throughput computing
• Electronic structure methods
• Scientific programming
• Python
• Materials informatics
• High-performance computing

General Skills

• Independent research
• Research communication
• Analytical thinking

Languages

Applications are welcome from UK nationals, EU students with settled or pre-settled status, and students with indefinite leave to remain or enter; studentship covers home fees only.