Job Summary
The
EPSRC has funded AIChemy, a research hub to develop artificial
intelligence (AI) for chemistry. AIChemy seeks to both develop new AI
approaches and to uptake AI into the chemistry community. The Hub brings
together AI researchers from many subdisciplines and both experimental
and computational chemists. The hub will promote connectivity of the
broader community, training, networking, as well as state-of-the-art
research.
This
is an exciting opportunity to design and implement novel digital
technologies in collaboration with a wide range of academic and
industrial partners who will be part of AlChemy – a new Hub involving
Imperial College London, the University of Liverpool, and a large
consortium of academic and industrial partners.
There
are two openings for research posts at the Research Associate level,
one in Generative AI for small molecules and materials, and one in
multi-fidelity machine learning for Chemistry. Candidates are welcome to
state their preference on which area they would prefer to work in, on
their application.
This
is an exciting opportunity to work within the larger team at Imperial,
and across the AIChemy hub to collectively deliver novel AI for
Chemistry.
You
will work on projects coordinated between both experimental chemistry
and machine learning academics. These posts offer the academic freedom
and the deep science base of Imperial College London and University of
Liverpool (including self-driving labs and high-throughput synthesis and
analysis setups) to make a notable contribution to the field.
Duties and responsibilities
You will:
-
Apply
and develop machine learning methods, Bayesian optimisation strategies,
and existing computational chemistry software for the successful
prediction of a range of materials, across molecular and solid-state
organic and inorganic systems.
-
Explore how material performance in a range of applications can be predicted with, where possible, simple descriptors.
Essential requirements
-
Hold, or be near completion of, a PhD in Chemistry or Computer Science or a closely related discipline.
-
Current knowledge in computational chemistry, physics, or materials science
-
Current knowledge in AI, ideally for use in the chemical sciences
-
Practical
experience in a state-of-the-art techniques in AI for chemistry, such
as generative AI, Bayesian optimisation, and graph neural networks.
-
Experience of dealing with multidisciplinary experimental and computational collaborators
-
Practical experience within a research environment and publications in relevant and refereed journals
Further Information
This
is a full time, fixed term position for two years. You will be based at
White City Campus with some time spent at the South Kensington Campus,
as required for the delivery of the research.
Due
to funding constraints for this role, we can offer the salary range
only at £45,593 - £49,305 per annum. However, you will be eligible for
incremental raises as per our standard pay scale for this grade.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
For informal queries, please contact Prof. Kim Jelfs,
[email protected]
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