Postdoc position in Deep Learning for Automated Modular Computer-Aided Design
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 for more information about the MaLeCI group, researchers and the current research projects.Expected start date and duration of employmentThe position is available from 1 October 2024, or as soon as possible thereafter. The position is for one year, with the possibility of extension of up to one more year.Job descriptionThe 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.Your profileApplicants should hold a PhD in computer engineering, computer science, informatics, or other related disciplines. Moreover:
Who we areAbout 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.What we offerThe department/centre offers:
Place of work and area of employmentThe place of work is Finlandsgade 22, 8200 Aarhus N, Denmark, and the area of employment is Aarhus University with related departments. The project includes meetings with cooperating partners from DTU and industrial beneficiaries.Contact informationFurther information about the position may be obtained from Professor Alexandros Iosifidis, email: ai@ece.au.dk.
DeadlineApplications must be received no later than 15 August, 2024.Application procedureShortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.Letter of referenceIf you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline. Aarhus, Midtjylland
Sat, 22 Jun 2024 22:05:44 GMT
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