Post-Doctoral Position "Physics-Informed Machine Learning" GENOVA

Post-Doctoral Position "Physics-Informed Machine Learning"
Genova
Liguria, GENOVA

Post-Doctoral position "Physics-informed machine learning" - (2300004B) Project: "Future Artificial Intelligence Research (hereafter FAIR)", CUP J53C22003010006, funded by MUR with Decree No.

1555 of October 11, 2022, in response to Notice No.

341 of March 15, 2022.

Commitment & contract: post-doc – up to 2 years Location: Genova – CHT – Via E. Melen 83 ABOUT US At IIT, we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges and transfer these technologies to the production system and society.

Our Genoa headquarters are interconnected with 11 centers around Italy and two outstations in the US.

YOUR TEAM You will be working in a multicultural and multi-disciplinary group, where computational scientists from physics, chemistry, and engineering collaborate 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, with strong internal collaboration with the Atomistic Simulation line of Prof. Michele Parrinello, and the Computational Statistics and Machine Learning line of Dr. Massimiliano Pontil.

The research focuses on predictive, machine-learning-enabled methods to accelerate the solution of specific partial differential equations for biophysical quantities, particularly equations for calculating electrostatic interactions in the continuum dielectric framework.

Your main responsibilities will be: Identify machine learning approaches to achieve the given goal.

Perform a feasibility study to estimate the most effective approach.

Collaborate on the implementation of this approach.

ESSENTIAL REQUIREMENTS A PhD in Physics, Engineering, Computer Science, Applied Mathematics, Chemistry, or similar disciplines.

Documented experience in machine learning and/or biophysical modeling.

Strong publication record.

Ability to report, organize and publish research data.

Experience in coaching junior scientists.

Good command of spoken and written English.

Proven programming capabilities.

ADDITIONAL SKILLS Experience in mathematical solutions of partial differential equations, FEM, and similar methods.

Knowledge of molecular-level biological systems modeling.

Good communication skills.

Strong problem-solving attitude.

High motivation to learn.

Spirit of innovation and creativity.

Good time and priority management.

Ability to work in a challenging and international environment.

Ability to work independently and collaboratively in an interdisciplinary environment.

COMPENSATION PACKAGE Competitive salary package for international standards.

Private health care coverage (depending on role and contract).

Wide range of staff discounts.

Tax deduction for eligible candidates from abroad or Italian citizens working abroad.

WHAT'S IN IT FOR YOU?

An equal, inclusive, and multicultural environment.

Encouragement to mingle and discover other labs.

Support with relocation paperwork.

Access to professionals for guidance on business-minded aspirations.

Opportunity to work in an innovative culture contributing to societal improvement.

Commitment to values of integrity, courage, societal responsibility, and inclusivity.

If you feel this tickles your appetite for change, do not hesitate and apply!

Please submit your application using the online form including a detailed CV, university transcripts, cover letter (outlining motivation, experience, and qualifications), and contact details of 2 references.

Application deadline: January 15th, 2025 The selection process will comply with Article 7 of Funding Decree 1053 of June 23, 2022.

Your data will be processed by Istituto Italiano di Tecnologia, in compliance with personal data protection rules.

Primary Location: GENOVA ERZELLI Job: Postdoc Organization: Computational mOdelling of NanosCalE and bioPhysical sysTems Job Posting: Dec 20, 2024, 2:27:15 AM #J-18808-Ljbffr