Postdoc in Deep Learning for Automated Modular Computer-Aided Design

at  Aarhus Universitet

Applications are invited for a one-year post doc. position at the Department of Electrical and Computer Engineering at Aarhus University. This position is for the project “AI-supported Modular Design and Implementation” supported by Thomas B. Thriges Foundation and the Industriens Foundation with cooperating partners from DTU and industrial beneficiaries.
The postdoctoral researcher will join our research group, Machine Learning and Computational Intelligence (MaLeCI), which is a dynamic and diverse team of talented and highly-motivated researchers conducting cutting-edge research in Machine Learning, Deep Learning, Computer Vision, Financial Data Analysis and Geometric Deep Learning.
Our group is equipped with the high-performing computational resources (the best NVIDIA GPUs, embedded GPUs for light-weight deep learning, drones, etc) facilitating high-ending AI research.
Checkout https://ece.au.dk/en/research/key-areas-in-research-and-development/signal-processing-and-machine-learning/machine-learning-and-computational-intelligence/people for more information about the MaLeCI group, researchers and the current research projects.

JOB DESCRIPTION

The main objective of this multidisciplinary project is to develop deep learning methods, including convolutional neural networks, transformers, and graph convolutional networks, for (semi)-automated CAD design, grouping, segmenting, and synthesizing CAD models, to support product design decisions by analyzing the similarity of CAD designs and providing the next step design suggestions to CAD engineers. Through cutting-edge research and collaboration with industrial partners, the team will develop high-performing methodologies and demonstrate their performance on both benchmark and real-world data.
Throughout this project, we will collaborate with researchers with both mechanical engineering and computer science/engineering background as well as relevant industrial case companies for testing and prototyping our proposed deep learning design assistance tool on real data and show the effectiveness of our methods in facilitating design process and implementing modularity in manufacturing.

WHO WE ARE

About the Department of Electrical and Computer Engineering:
Electrical and computer engineering are closely related engineering disciplines that focus on the development of hardware and software for intelligent units and networks. This includes hardware at system and component levels as well as many different types of software for controlling electronic devices and networks.
The research areas within the Electrical and Computer Engineering Department support the development within this area. The outcome greatly influences our daily lives as advanced technologies are incorporated into an increasing number of products, for example in industrial processes, at hospitals and in information infrastructures.

Please refer the Job description for details