h3bPost-doc in Machine Learning and Computational Chemistry /b /h3pItaly /ppCommitment contract: collaboration contract /ppbStep into a world of endless possibilities, together let’s leave something for the future! /b /ppAt 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. /ppWe 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. /ph3bTHE ROLE /b /h3pNumerical 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. /ppThe 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. /ppGood 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. /ppWithin the research team, your main responsibilities will be: /pulliinvestigate open research problems in machine learning and computational physics and chemistry, /liliwrite research papers and when appropriate opensource software for reproducibility and dissemination /lilipossibly be involved in coaching PhD students and interns. /li /ulh3bESSENTIAL REQUIREMENTS /b /h3ulliA PhD in Physics, Chemistry, Computer Science, Applied Mathematics, or related disciplines; /liliGood record of publications in top tier conferences/journals in ML and/or Comp. Chemistry; /liliStrong problem-solving attitude; /liliStrong Programming skills (Python, TensorFlow, etc.) /liliThe ability to properly report, organize and publish your research results; /liliGood command of spoken and written English. /li /ulh3bCOMPENSATION PACKAGE /b /h3ulliA yearly gross salary ranging between 35.000,00 and 42.000,00 euro /liliPrivate health care coverage depending on your role and contract /liliCandidates 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. /li /ulpApplication’s deadline: November 30, 2026. /ppTo discover more about life at IIT, visit the dedicated section here: /p #J-18808-Ljbffr

📌 Post-doc in Machine Learning and Computational Chemistry (Genova)
🏢 Istituto Italiano Di Tecnologia
📍 Genova