POST-DOC IN SCIENTIFIC MACHINE LEARNING (W)

Commitment %26amp; contract.
at least 2 YearsLocation.
IIT Erzelli, GenovaWHO WE ARE.
At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society.
Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience.
OUR TEAM.
The position is within the Computational Statistics and Machine Learning (CSML) research unit at IIT.
The successful candidate will be engaged in designing novel learning algorithms for numerical simulations of physical systems, with a focus on machine learning for dynamical systems.
CSML has a strong focus on ML theory and algorithms, but also significant multidisciplinary interactions with other IIT groups in areas ranging from Atomistic Simulations, to Neuroscience and Robotics.
We have also recently started international collaboration on Climate Modelling.
he group hosts applied mathematicians, computer scientists, physicists and computer engineers, working together on both theory, algorithms and applications.
Machine learning techniques, coupled with numerical simulations of physical systems have the potential to revolutionize the way in which science is conducted.
Meeting this challenge requires a multi-disciplinary approach in which experts from different disciplines work together.
or recent relevant publications from our lab, please see.
.
Kostic, P.
Novelli, A.
Maurer, C.
Ciliberto, L.
Rosasco, M.
Pontil.
Learning dynamical systems via Koopman operator regression in reproducing kernel hilbert spaces.
NeurIPS .
.
Kostic, P.
Novelli, R.
Grazzi, K.
Lounici, M.
Pontil.
Learning invariant representations of time-homogeneous stochastic dynamical systems.
ICLR .
.
Kostic, K.
Lounici, H.
Halconruy, T.
Devergne, M.
Pontil.
earning the infinitesimal generator of stochastic diffusion processes, Submitted T.
Devergne, V.
Kostic, M.
Parrinello, M.
Pontil.
rom biassed to unbiased dynamics.
an infinitesimal generator approach.
Submitted, .
Novelli, L Bonati, M Pontil, M Parrinello.
Characterizing metastable states with the help of machine learningJournal of Chemical Theory and Computation .
Falk, L Bonati, P Novelli, M Parrinello, M Pontil.
ransfer learning for atomistic simulations using GNNs and kernel mean embeddings.
NeurIPS, .
Grazzi, M Pontil, S Salzo.
ilevel Optimization with a Lower-level Contraction.
Optimal Sample Complexity without Warm-Start.
Journal of Machine Learning Research Within the team your main responsibilities will be.
o investigate open research problems in machine learning and computational physics, to write research papers and when appropriate, open source software to fully reproduce the results presented in the papers,possibly, to be involved in coaching PhD students and interns.
HAT WOULD MAKE YOU SHINEA PhD in Applied Mathematics, Physics, Engineering, Computer Science,or related disciplines;Good record of publications in top tier conferences/journals in ML and related disciplines;A strong background on a least one of the following areas.
achine Learning for dynamical systems and partial differential equations;Computational tools for numerical simulations, and a working knowledge of ML tools;Numerical optimization and its application to machine learning and deep learning;Strong problem-solving attitude;Working knowledge of the ML ecosystem (Python, Pytorch, JAX, sklearn);The ability to properly report, organize and publish your research results;Good command of spoken and written English.
OMPENSATION %26amp; BENEFITS.
Competitive salary package for international standards;Private health care coverage;Wide range of staff discounts;WHAT'S IN IT FOR YOU?Anequal,inclusive andmulticulturalenvironmentready to welcome you with open arms.
Welike contamination andencourage you to mingle and discover what others are up to in our labs!If paperwork is not your piece of cake, we got you! There's a specialized team working to help you with that, especially during your relocation!If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!We stick to our values.
integrity, courage, societal responsibility, and inclusivity.
These guide our actions and drive us to achieve IIT%27s mission!Please submit your application using the online form and CV, a short research statement (max 2 pages) and names of two referees.
Application's deadline.
22nd November We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et.
seq.
of European Regulation no.
(General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel.
+ ).