Research Fellow for Materials Informatics/Materials Data Scientist

UCL Department / Division
Institute for Materials Discovery
Location of position
London
Grade
7
Hours
Full Time
Salary
(inclusive of London allowance)
£36,770 - £44,388 per annum
Duties and Responsibilities
A postdoctoral research associate position is immediately available in the Data-Driven Materials Discovery & Materials Informatics Group of Prof Adham Hashibon at UCL. Outstanding highly motivated candidates are sought with strong background in materials modelling and computational physics/chemistry. 
Candidates are expected to participate and contribute to exciting developments in emerging integrated materials modelling approaches spanning various models and scales (from electronic, atomistic to mesoscopic and continuum). Focus is to create a framework for validation of advanced materials models with use of artificial intelligence (AI) including of course machine learning (ML) approaches. In addition, ample opportunities will be provided to engage in the emerging fields of Materials Informatics and Materials Data Science, including Machine Learning innovative applications, knowledge graphs, ontology and e-science open digitalization frameworks. Depending on the skill set and interest of the candidate either a track focused on the application of materials models, or a track for the development of such methodologies are possible.
Knowledge of computational modelling of materials in general, and specifically of Density functional Theory or Molecular Dynamics is required. Expertise in continuum modelling of mechanical properties or fluids is welcome.
Ample networking and collaboration opportunities within UCL within the Chemistry, Physics and Engineering departments as well as with the emerging UCL East campus in London and with leading international researchers and industry are offered.
The position is supported primarily by the European Commission’s Horizon 2020 grant OpenModel (https://open-model.eu) initially for 24
months with the possibility for extension depending on funding and mutual
agreement.
Key Requirements
PhD or equivalent work experience in computational physics, chemistry or materials science, or equivalent engineering related topics (including computer science or data science). Demonstrable experience in either electronic first principles Density Functional Theory (DFT) methods or atomistic molecular dynamics (MD) or similar. The successful candidate must have a keen interest developing and understanding the interplay between databased and physics-based models.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, the initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum including London Allowence) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Further Details
A job description and person specification can be accessed at the bottom of this page.
To apply for the vacancy please click on the ‘Apply Now’ button below.
For informal enquiries about the role, please contact Prof. Adham Hashibon ([email protected]).
Please send any queries regarding the vacancy or the application process to Mr Alex Balciunas, [email protected].
UCL Taking Action for Equality
Closing Date
31 Mar 2022
Latest time for the submission of applications
23:59
Interview date
TBC
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.
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