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Post-Doctoral position “Physics-informed machine learning”

Job Location

provincia-di-genova, Italy

Job Description

Human Resources and Organization Direction Organisation/Company: ISTITUTO ITALIANO DI TECNOLOGIA Department: Human Resources and Organization Direction Research Field: Physics » Computational physics Researcher Profile: First Stage Researcher (R1) Positions: Postdoc Positions Country: Italy Application Deadline: 6 Apr 2025 - 15:03 (Europe/Rome) Type of Contract: Other Extra Information: Commitment & contract: post-doc – up to 2 years Is the job funded through the EU Research Framework Programme? NextGenerationEU Reference Number: CUP J53C22003010006 Is the Job related to staff position within a Research Infrastructure? No Offer Description Commitment & contract: post-doc – up to 2 years ABOUT US 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 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. YOUR 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. Your main responsibilities will be: Identify a set of potentially useful machine learning approaches to reach the given goal Perform a feasibility study to estimate which could be the most effective one; Collaborate with the already ongoing effort to implement this approach. ESSENTIAL REQUIREMENTS A PhD in Physics, Engineering, Computer Science, Applied Mathematics, Chemistry , and similar disciplines Documented experience in machine learning and or biophysical modeling Strong publication record Ability to properly report, organize and publish research data Documented experience in coaching junior scientists Good command of spoken and written English Proven programming capabilities ADDITIONAL SKILLS Experience in the mathematical solution of partial differential equations, FEM and similar methods; Knowledge of modeling of biological systems at the molecular level Strong problem-solving attitude High motivation to learn Spirit of innovation and creativity Good at time and priority management Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary environment COMPENSATION PACKAGE Competitive salary package for international standards Private health care coverage (depending on your role and contract) Wide range of staff discounts Candidates 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. WHAT’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. If 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. 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 are the values we believe in. They define us and our actions in our everyday life. They guide us to accomplish IIT mission. If 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. The Selection processes will be managed in compliance with the provisions established in Article 7 of the Funding Decree 1053 del 23.06.2022 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. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: 39 010 28961 - email: dpoiit.it - 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). J-18808-Ljbffr

Location: provincia-di-genova, IT

Posted Date: 4/3/2025
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Posted

April 3, 2025
UID: 5123794526

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