Postdoc position in Computer Engineering at the Division of Computer Engineering, Department of Electrical Engineering, Linköping University.

Work assignments

The postdoc will carry out research directed by Prof Jose Nunez-Yanez, who is a Royal Society industrial fellow in Machine intelligence at the network Edge and has been appointed as Professor in Computing Architectures for Machine Learning at the department of Electrical Engineering (ISY), Linkoping University. The position is funded by WASP and it is expected that the successful candidate attends the annual workshops and presents the outcomes.

State-of-the-art deep learning models such as those used in object detection and machine health diagnosis are deploying new features such as attention mechanisms and data fusion which require a large amount of compute power and energy to run in real-time. One possible solution is to map them to cloud-based services, but this has negative implications on latency and data security. To address this challenge, we will research embedded deep learning heterogeneous computing platforms that combine hardwired, reconfigurable and programmable hardware. The heterogeneous approach can combine compute resources such as Google EdgeTPUs, Intel VPUs and FPGA logic to deliver optimal points of scalability, throughput, flexibility and low-latency. This will enable the deployment of complex models such as attention-based neural networks with recurrent layers or transformers to SoC health monitoring and fault diagnosis near data sources such as performance counters and hardware sensors. A complex multi-core RISC-V system could constitute the SoC under analysis for demonstration purposes.

More Information and Application

View all positions
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners. View more
Cookies settings
Accept
Privacy & Cookie policy
Privacy & Cookies policy
Cookie name Active
The WASP website wasp-sweden.org uses cookies. Cookies are small text files that are stored on a visitor’s computer and can be used to follow the visitor’s actions on the website. There are two types of cookie:
  • permanent cookies, which remain on a visitor’s computer for a certain, pre-determined duration,
  • session cookies, which are stored temporarily in the computer memory during the period under which a visitor views the website. Session cookies disappear when the visitor closes the web browser.
Permanent cookies are used to store any personal settings that are used. If you do not want cookies to be used, you can switch them off in the security settings of the web browser. It is also possible to set the security of the web browser such that the computer asks you each time a website wants to store a cookie on your computer. The web browser can also delete previously stored cookies: the help function for the web browser contains more information about this. The Swedish Post and Telecom Authority is the supervisory authority in this field. It provides further information about cookies on its website, www.pts.se.
Save settings
Cookies settings