Post-doc in Machine Learning and Computational Chemistry

ISTITUTO ITALIANO DI TECNOLOGIA; Italia; In loco; EUR 35.000 - 42.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health care

Tax deduction up to 90% from taxable收入

Descrizione del lavoro

Istituto Italiano di Tecnologia seeks a talented postdoctoral researcher to join a collaborative project between the Atomistic Simulations and Computational Statistics and Machine Learning units at IIT. The role focuses on designing physics-informed learning algorithms for atomistic simulations.

The successful candidate will contribute to advancing machine learning for physics and chemistry, publish refereed papers, and may mentor PhD students and interns.

Competenze

• A PhD in Physics, Chemistry, Computer Science, Applied Mathematics, or related disciplines.
• Good record of publications in ML and/or Computational Chemistry.
• Strong problem-solving attitude.
• The ability to properly report, organize and publish your research results.
• Good command of spoken and written English.

Mansioni

• Investigate open research problems in ML and computational physics and chemistry.
• Write research papers and when appropriate open-source software for reproducibility and dissemination.
• Possibly be involved in coaching PhD students and interns.

Conoscenze

Research publications

English proficiency

Formazione

PhD in Physics, Chemistry, CS, Applied Mathematics

Descrizione del lavoro

Organisation/Company Istituto Italiano di Tecnologia Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 30 Nov 2026 - 00:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Commitment & contract: collaboration contract

Step into a world of endless possibilities, together let’s leave something for the future!

At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.

We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE

Numerical simulations of physical systems coupled with machine learning techniques have the potential to revolutionize the way in which science is conducted. Meeting this challenge requires a multi-disciplinary approach in which experts from physics and machine learning work together. To this end, we are seeking a talented and motivated postdoctoral researcher to join a collaborative project between the Atomistic Simulations and Computational Statistics and Machine Learning research units at IIT, led by Profs. Michele Parrinello and Massimiliano Pontil, respectively.

The goal of the project is to combine the expertise of the two units, that is to say advanced numerical simulations and machine learning theory and algorithms. The successful candidate will be engaged in designing novel physics informed learning algorithms for atomistic simulations, which are more efficient, interpretable, and reliable than currently available methods. Such algorithms will be of strategical importance in help addressing some of mankind’s cogent problems like for instance the transition to a green economy.

Good candidates are either people with expertise in machine learning methodologies who are interested into applying them to computational chemistry, as well as computational physicists or chemists that have already a working knowledge of machine learning tools.

Within the research team, your main responsibilities will be:

• investigate open research problems in machine learning and computational physics and chemistry,
• write research papers and when appropriate opensource software for reproducibility and dissemination
• possibly be involved in coaching PhD students and interns.

ESSENTIAL REQUIREMENTS

• A PhD in Physics, Chemistry, Computer Science, Applied Mathematics, or related disciplines;
• Good record of publications in top tier conferences/journals in ML and/or Comp. Chemistry;
• Strong problem-solving attitude;
• The ability to properly report, organize and publish your research results;
• Good command of spoken and written English.

COMPENSATION PACKAGE

• A yearly gross salary ranging between 35.000,00 and 42.000,00 euro
• Private health care coverage depending on your role and contract
• Candidates from abroad or Italian citizens who have carried scientific research activity permanently abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.