PhD fellowship in Machine Learning for Crystallography at Durham University

Laplace Expert Ltd; North East; Hybrid; GBP 18,000 - 24,000; Full time

Job summary

Durham University’s Department of Mathematical Sciences invites applications for a PhD fellowship in Machine Learning for Crystallography in Durham, United Kingdom. The role focuses on developing ML-based approaches within a crystallography pipeline and involves research, training, and professional activities.

The fellowship is a 4-year, full-time, on-site position funded as a stipend. Strong background in machine learning, maths, and scientific computing is desirable, with crystallography

Qualifications

• Applicants should hold, or expect to obtain, a strong relevant undergraduate degree or equivalent; consult the official advert for the exact threshold.
• Demonstrated expertise in machine learning, mathematical modelling, and scientific computing.
• Experience with crystallography is advantageous.

Skills

Machine learning

Mathematical modelling

Crystallography

Scientific computing

Artificial intelligence

Education

Bachelor's degree or equivalent

Job description

PhD fellowship in Machine Learning for Crystallography at Durham University

Durham University · Department of Mathematical Sciences

Not specified

About This Opportunity

Durham University is offering a PhD fellowship in Machine Learning for Crystallography in Durham, United Kingdom. The opportunity is relevant to Artificial Intelligence & Data Science and focuses on the research, training, or professional activities described in the official vacancy.

This PhD fellowship at Durham University focuses on Machine Learning for Crystallography. Research mathematical and machine-learning methods for a deep learning-accelerated crystallography pipeline. The opportunity is based in Durham, United Kingdom and sits within Artificial Intelligence & Data Science.

Machine Learning for Crystallography Artificial Intelligence & Data Science

Level PhD

Attendance On-site

Time Commitment Full-time

Duration 4 years

Reference Code DSZ020

Field Machine Learning for Crystallography

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

Amount Stipend

Funding Type Stipend

Requirements

Education

Applicants should hold, or expect to obtain, a strong relevant undergraduate degree or equivalent; consult the official advert for the exact threshold.

Experience

• Technical Skills
• Machine learning
• Mathematical modelling
• Crystallography
• Scientific computing
• Machine learning and artificial intelligence

General Skills

• Research communication
• Independent research
• Teamwork