The Computational Science Laboratory at Universitat Pompeu Fabra (http://www.upf.edu) and ICREA Research Professor Gianni De Fabritiis (https://es.linkedin.com/in/gdefabritiis) are inviting applications for a postdoctoral role centered on the intersection of foundation models and computational chemistry.
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To advance the field of computational chemistry through the development and application of foundation models and agent-based models in chemistry, contributing to the forefront of drug discovery research.
Develop the framework machine learning for molecular simulations
Use state-of-the-art deep neural architecture for molecular representation (e.g. TensorNet, TorchMD-NET) in PyTorch
Build foundation models for chemistry using unsupervised learning approaches for zero-shot learning.
Generate new datasets using GPUGRID.net to train models
Develop generative models that are dependent on structural information to propose new molecules
The candidate will have a PhD in chemistry, physics, computer science or a similar discipline.
Good knowledge of at least a machine learning framework, preferably PyTorch or Jax, and Python.
Good understanding of software engineering and code performance, including good code practices
Preferably knowledge of quantum chemistry (e.g. PSI4)
We seek exceptional candidates with a passion for using computation and machine learning to solve real problems.
The capability to think out of the box, the ambition to work on very innovative projects, and very good communication skills in English.
Excellent publication record.
Set within the heart of Barcelona, Spain, this role is based at the Barcelona Biomedical Research Park. This hub is a beacon of multidisciplinary research in Southern Europe, hosting over 1,300 scientists and boasting a picturesque Mediterranean backdrop.
Postdoctoral scientists will have the opportunity to work with http://www.playmolecule.org, a state-of-the-art platform for computational drug discovery. Access to state-of-the-art computational resources and large amounts of simulation data will be crucial for the development and validation of novel computational protocols. The lab is equipped with a cluster with state-of-the-art GPUs and has exclusive access to GPUGRID.net, a distributed computing project with 5000 GPUs.
We provide a competitive salary compared to similar positions in the area ranging between 40,000 to 45,000 EUR annually, commensurate with the candidate's experience.
This position is offered within a multi-year, long-term research project.
Anytime from now.
Please send an email to gianni.defabritiis@upf.edu with the subject “PD202311” with a CV and a cover letter together with the names of up to three contacts for references. We will contact you only if you are selected for the interview.