POST-DOCTORAL POSITION “PHYSICS-INFORMED MACHINE LEARNING” (B)

Project.
"Future Artificial Intelligence Research (hereafter FAIR)", CUP J53C, ammesso a finanziamento dal MUR con Decreto Direttoriale di concessione delle agevolazioni n.
del 11 ottobre , in risposta all'Avviso N.
341 del che d%26agrave; attuazione all'Investimento 1.
- Creazione di "Partenariati estesi alle universit%26agrave;, ai centri di ricerca, alle aziende per il finanziamento di progetti di ricerca di base" - nell'ambito della Missione 4 "Istruzione e ricerca", Componente 2 "Dalla ricerca all'impresa" del Piano Nazionale di Ripresa e ResilienzaCommitment %26amp; contract.
post-doc - up to 2 years Location.
Genova - CHT - Via E.
Melen 83ABOUT USAt 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 headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US.
We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience.
OUR TEAM You will be working in a multicultural and multi-disciplinary group, where computational scientists in the fields ranging from physics, to chemistry, to engineering collaborate, each with their own expertise, to carry out common research.
The position is in the Computational mOdelling of NanosCalE and bioPhysical sysTems - (CONCEPT) Research Line coordinated by Dr.
Walter Rocchia, who has extensive experience on Biophysical modeling.
Strong internal collaboration is active in this project with the Atomistic Simulation line of Prof.
Michele Parrinello, and with the Computational Statistics and Machine Learning line of Dr.
Massimiliano Pontil.
The research focuses on finding predictive, machine-learning-enabled methods able to accelerate the solution of specific partial differential equations used to calculate relevant biophysical quantities.
This includes specifically different flavors of equations for calculation of electrostatic interaction methods in the continuum dielectric framework.
our main responsibilities will be.
dentify a set of potentially useful machine learning approaches to reach the given goalPerform a feasibility study to estimate which could be the most effective one;Collaborate with the already ongoing effort to implement this approach.
SSENTIAL REQUIREMENTSA PhD in Physics, Engineering, Computer Science, Applied Mathematics, Chemistry, and similar disciplinesDocumented experience in machine learning and or biophysical modelingStrong publication recordAbility to properly report, organize and publish research dataDocumented experience in coaching junior scientistsGood command of spoken and written EnglishProven programming capabilitiesADDITIONAL SKILLSExperience in the mathematical solution of partial differential equations, FEM and similar methods;Knowledge of modeling of biological systems at the molecular levelGood communication skillsStrong problem-solving attitudeHigh motivation to learnSpirit of innovation and creativityGood at time and priority managementAbility to work in a challenging and international environmentAbility to work independently and collaboratively in a highly interdisciplinary environmentCOMPENSATION PACKAGECompetitive salary package for international standardsPrivate health care coverage(depending on your role and contract)Wide range of staff discountsCandidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.
HAT'S IN IT FOR YOU?An equal, inclusive and multicultural environment ready to welcome you with open arms.
Discrimination is a big NO for us!We like contamination and encourage you to mingle and discover what other people are up to in our labs!If paperwork is not your piece of cake, we got you! There is a specialized team working to help you with that, especially during your relocation.
f you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations.
f 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 are the values we believe in.
They define us and our actions in our everyday life.
They guide us to accomplish IIT mission.
f you feel this tickles your appetite for change, do not hesitate and apply!Please submit your application using the online form and including a detailed CV, university transcripts, cover letter (outlining motivation, experience and qualifications) and contact details of 2 references.
pplication's deadline.
January 15th, The Selection processes will be managed in compliance with the provisions established in Article 7 of the Funding Decree del 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.
our 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.
lease 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.
+ - kindly note that this e-mail address is exclusively reserved for handling data protection issues.
Please, do not use this e-mail address to send any document and/or request of information about this opening).