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Up Directory CCL 19.04.30 Quantum chemistry and machine learning for automated chemical design, MIT
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Tue Apr 30 11:09:26 2019
Subject: 19.04.30 Quantum chemistry and machine learning for automated chemical design, MIT
The Learning Matter group at MIT DMSE is looking for post-doctoral applicants with
interests at the interface of quantum chemical simulation and machine learning.

A DARPA-funded collaboration across Chemical Engineering, Electrical Engineering and
Computer Science, and Materials Science and Engineering seeks to build hardware
and software to fully automate molecular optimization by combining machine learning
with experimentation and simulation.

The position is initially for 12 months with possible extensions for up to 48 months.

The successful candidate will collaborate with a team of ~10 researchers to automate
molecular design by carrying out virtual screening of molecular properties such as
optical spectra, solubility, reactivity and toxicity. They will also contribute to developing
an integrated discovery software framework and to combine simulations with machine
learning.

Candidates should have a PhD in computational chemistry or a related field
with hands-on experience in atomistic simulations with electronic structure,
and programming in Python. 

In addition, experience in some combination of the following is expected:
* Simulations of optical absorption and emission spectra of organic
   molecules, particularly in addressing solvent effects and vibronic coupling.
* Molecular dynamics simulations of aqueous solution or molecular liquids.
* Machine learning of structure-property relationships in molecular systems,
   particularly using deep neural networks or Bayesian optimization.
* High-throughput simulations, databases, cheminformatics and
   workflow management.
* Experience with key packages/codes/languages such as rdkit, scikit-learn
  ASE, keras, django, PostgreSQL, Orca/Terachem/Q-Chem, pytorch.

Candidates from historically under-represented minorities and other
underrepresented groups are encouraged to apply. MIT is an Equal
Opportunity/Affirmative Action Employer committed to diversity and inclusion.


https://dmse.mit.edu/people/rafael-gomez-bombarelli
http://gomezbombarelli.mit.edu/
Interested applicants should contact Rafael Gomez-Bombarelli (rafagb --AT-- mit.edu)
and supply a copy of their CV, names and contact details for three references, and a 
brief cover letter / applicant statement.
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