Postdoc: Machine Learning for Atomistic Chemistry

ISTITUTO ITALIANO DI TECNOLOGIA; Genova; On-site; EUR 35,000 - 42,000; Part time

Benefits offered by this job

Salary 35k–42k EUR gross/yr

Private health care

Job summary

ISTITUTO ITALIANO DI TECNOLOGIA invites applications for a post-doctoral position in Machine Learning and Computational Chemistry in Genova. The role focuses on designing physics-informed learning algorithms for atomistic simulations, with impact on green tech and scientific computing.

Candidates with ML expertise and an interest in computational chemistry, or computational physicists/chemists with ML knowledge, are encouraged.

Qualifications

• PhD in Physics, Chemistry, Computer Science, Applied Mathematics, or related disciplines.
• Strong publications in ML and/or Computational Chemistry.
• Good command of English and programming skills (Python, TensorFlow).

Responsibilities

• Investigate open research problems in ML and computational physics/chemistry.
• Publish research papers and develop open-source software for reproducibility.
• Possibly coach PhD students and interns.

Skills

Machine learning

Python

TensorFlow

Education

PhD in Physics, Chemistry, CS or Applied Math

Job description

ISTITUTO ITALIANO DI TECNOLOGIA invites applications for a post-doctoral position in Machine Learning and Computational Chemistry in Genova. The role focuses on designing physics-informed learning algorithms for atomistic simulations, with impact on green tech and scientific computing.

Candidates with ML expertise and an interest in computational chemistry, or computational physicists/chemists with ML knowledge, are encouraged.