PhD Fellowship: Deep Learning for Crystallography

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

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