Post-doctoral Position “physics-informed Machine
2 mesi fa
**Post-Doctoral position “Physics-informed machine learning”**
- (2300004B)
**Project: “Future Artificial Intelligence Research (hereafter FAIR)”, CUP J53C22003010006, ammesso a finanziamento dal MUR con Decreto Direttoriale di concessione delle agevolazioni n. 1555 del 11 ottobre 2022, in risposta all’Avviso N. 341 del 15/03/2022 che dà attuazione all’Investimento 1.3 - Creazione di “Partenariati estesi alle università, 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 Resilienza**
- 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 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
- Good communication skills
- 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
**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
**Application’s deadline**:November 3rd, 2024**
The Selection processes will be managed in compliance with the provisions established in Artic
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