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3 Postdoc positions in Simulations and AI for Se ... (No replies)

mtodorovic

9 months ago

mtodorovic 9 months ago

Deadline approaching: 22 October 2023

 

The Materials Informatics Laboratory of Prof. Milica Todorović at the University of Turku (FI) has opened 3 Postdoctoral positions ready to start in January 2024. Successful candidates would combine artificial intelligence (AI) algorithms with atomistic simulations and apply them to enhance Semiconductor and Photonics Manufacturing and Recycling processes. 

 

In the SmartFab project, you will be using data science to accelerate the manufacturing of semiconductor and photonics components for industrial use. You will be applying AI tools directly to experimental data with computer vision, and also developing new approaches to optimize materials and processes with modest data sets. This position will require close collaboration with academic and industrial partners to transfer knowledge from academia to the industry, and assist with the digital transformation in manufacturing.  

 

In the ChipBoost project, you will be deploying first-principles simulations to study interfaces between semiconductor layers inside devices made by Comptek Solutions. We will use AI-assisted interface structure search techniques to identify the atomistic arrangements and electronic contact at the interface. This information will be used to build multi-scale models of the entire semiconductor device. In this project, the contract will be split between the academic and industrial partner. 

In the SmartCycling project, you will be developing fusion AI approaches to combine different types of information into multi-objective optimization. Our objective is to integrate scientific knowledge into data-driven work, as well as combine data from simulations and experiments. The new frameworks will be applied to system optimization of the recycling procedures for batteries, in collaboration with metallurgy partners at Aalto University.  

 

We welcome candidates with a background in physics, chemistry, materials science or computer science who are curious about applied machine learning in natural sciences. Prior experience with first principles and classical materials simulations, coding, computer vision and data science is a bonus. We seek colleagues who enjoy programming, scripting and analytics, and are keen to push the boundaries of computational materials research. This project require creative thinking, technical skills and a broad understanding of solid-solid interfaces and semiconductor structures. We further appreciate willingness to travel, collaborate and communicate science.

 

More information on the positions and application guidelines are available here. The application deadline is 22 October 2023. We would like the successful candidates to start in January 2024 or soon thereafter.