PGTA - Institute for Materials Discovery (Data)

Job description

The candidate is expected to support the students on software issues and help the students to install, setup, debug and run their computational materials modelling and/or machine learning tools. Furthermore, they are expected to provide advice and support for data pre- and post-processing and visualization, also contribute to the development, maintenance and updating of various online tutorials (e.g. see https://github.com/materials-discovery/linux_tutorials) as needed. The workload will be of about 6-10 hours/week, with events taking place at UCL East, Marshgate building or Pool Street. 

Please see further information in the attached Job Description. 

Key responsibilities

• Laboratory demonstration

Requirements for role

Educated to Master’s degree level (or having equivalent experience experience) in a Materials Science and Engineering related field, working towards a relevant postgraduate degree (PhD) with an interest in data driven materials discovery, materials modelling, and simulation.  Also familiar with Linux operating systems, Python and/or machine learning frameworks.  Good communication skills, ability to work flexibly and respond to changing priorities, working both independently and as part of a team.

How to apply

Submit a CV and supporting statement (maximum 1 page) to imd@ucl.ac.uk