The Data Driven Materials Discovery and Materials Informatics (Data-MI) Group is seeking to appoint a postdoc in data driven materials modelling with knowledge in DFT and/or molecular dynamics modelling.  

The role

As a research fellow within the data driven materials discovery and materials informatics group you will be responsible for

▪ Developing and implementing a novel framework for the validation of advanced materials modelling via the use of novel machine learning and AI paradigms

▪ Developing and applying novel methods and tools for materials digitalization using cutting edge data science approaches.

The position is supported primarily by the European Commission’s Horizon 2020 grant OpenModel (https://open-model.eu) and is initially fixed for 24 months with the possibility for extension depending on funding and mutual agreement.

How to apply

Please visit the UCL online recruitment system (Link) for the full job description (this is a pre announcement, the job is expected to be online from 6.6.2022).

Applications must include a full CV, research statement and a cover letter sent as one PDF file submitted to the UCL online recruitment system (Note: the advert will be live soon). Please include in the cover letter how you meet the criteria for the role and include a list of publications and conference presentations if applicable. The research statement should be up to 2xA4 pages with all text at least 11pt Arial/Helvetica or Times/New Roman.

Informal enquiries should be addressed to Professor Adham Hashibon, head of the Data-MI group ([email protected]).