Post Doc Position In Enhancing 2D Material Growth With Artificial Neural Networks (Neuromatgrow[...]

Post doc position in Enhancing 2D Material Growth with Artificial Neural Networks (NeuroMatGrow – FAIR Project), Pisa
Client : Location :
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Job Reference :
725e67baffba
Job Views : Posted :
20.06.2025
Expiry Date : 04.08.2025
Job Description : The project "Future Artificial Intelligence Research (FAIR)" aims to harness artificial neural networks and evolutionary reinforcement learning to advance the growth of 2D homo / heterostructures with high precision.
The goal is to optimize the growth process to target specific crystal phases, opening new avenues in materials science.
This involves integrating AI techniques with materials synthesis to improve control and predictability in 2D material engineering, enabling applications in electronics, photonics, and beyond.
We are part of IIT, committed to developing human-centered Science and Technology to address societal challenges and transfer innovations to industry and society.
Our headquarters in Genoa collaborates with 11 centers across Italy and international stations in the US, fostering an interdisciplinary environment.
You will join a multicultural, multidisciplinary team of physicists, chemists, surface scientists, electrical and biomedical engineers, working closely with industrial partners.
Our mission in 2D Materials Engineering is to synthesize, investigate, and tailor 2D materials and heterostructures for next-generation devices in photonics, electronics, biomedical, and quantum fields, from design to industrial application.
Your main responsibilities include : Collaborating with the AI development team to implement neural networks for growth targets.Conducting chemical vapor deposition growth of 2D materials following protocols and safety standards.Preparing samples, including cleaning and fabrication in cleanroom environments.Characterizing samples using AFM, Raman spectroscopy, and other techniques.Analyzing experimental data to extract insights.Ideal candidates should have : A Ph.D. in Physics, Chemistry, Material Science, Electrical or Materials Engineering, or related fields.Strong experimental skills and a record of publications.Ability to organize and report research data effectively.Creativity and enthusiasm for research.Preferred qualifications include experience in 2D materials growth, neural networks, machine learning, and cleanroom procedures.
Strong problem-solving, motivation, innovation, time management, and ability to work independently and in teams are highly valued.
We offer : A competitive salary aligned with international standards.Staff discounts and an inclusive, multicultural environment.Opportunities for collaboration, innovation, and societal impact.If you are eager to contribute to cutting-edge research and societal betterment, apply now!
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