Postdoc Efficient learning in hardware for neuromorphic computing
Postdoc Efficient learning in hardware for neuromorphic computing
Job description
Eindhoven University of Technology, Departments of Mechanical Engineering and Electrical Engineering and Eindhoven Hendrik Casimir Institute, has a vacancy for a
Postdoc 'Efficient learning in hardware for next-generation neuromorphic computing and smart sensors'
Neuromorphic computing could address the inherent limitations of conventional silicon technology in dedicated machine learning applications. Recent work on large crossbar-arrays of two-terminal memristive devices has led to the development of promising neuromorphic systems. However, delivering a parallel computation technology, capable of embedding artificial neural networks in hardware, remains a significant challenge. Organic electronic materials offer an attractive alternative and can provide neuromorphic devices with low-energy switching and excellent tunability. Here we propose a novel implementation of backpropagation in hardware enabling - for the first time - tuning of multilayer hardware neural network, an essential step for energy-efficient and edge computing systems such as smart sensors.
Key objectives and scientific challenges
Postdoc 'Efficient learning in hardware for next-generation neuromorphic computing and smart sensors'
Neuromorphic computing could address the inherent limitations of conventional silicon technology in dedicated machine learning applications. Recent work on large crossbar-arrays of two-terminal memristive devices has led to the development of promising neuromorphic systems. However, delivering a parallel computation technology, capable of embedding artificial neural networks in hardware, remains a significant challenge. Organic electronic materials offer an attractive alternative and can provide neuromorphic devices with low-energy switching and excellent tunability. Here we propose a novel implementation of backpropagation in hardware enabling - for the first time - tuning of multilayer hardware neural network, an essential step for energy-efficient and edge computing systems such as smart sensors.
Key objectives and scientific challenges
- Realisation of a neuromorphic array of optimised organic neuromorphic devices
- Demonstration of novel implementation of weight tuning in hardware
- Development of a modular neuromorphic chip with error backpropagation in hardware
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
:fill(white)/logos/tue-en-wide_acOLN2b.png)
Eindhoven University of Technology (TU/e)
Requirements
We are looking for a candidate with a demonstrated expertise and background in electrical engineering or circuits, artificial intelligence, microsystems engineering or other relevant discipline. Given the multidisciplinary character of the proposed research the ideal candidate has experience in device physics, circuits, sensors and artificial intelligence and machine learning. Furthermore, the candidate has a hands-on attitude, experimental experience and can work independently as well as collaborate with others.
Embedding
The postdoc will be supervised by prof. Yoeri van de Burgt, associate professor in Neuromorphic Engineering and prof. Marco Fattori assistant professor in Integrated Circuits, both part of the Eindhoven Hendrik Casimir Institute.
Embedding
The postdoc will be supervised by prof. Yoeri van de Burgt, associate professor in Neuromorphic Engineering and prof. Marco Fattori assistant professor in Integrated Circuits, both part of the Eindhoven Hendrik Casimir Institute.
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for 2years.
- Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10.
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs on general skills, didactics and topics related to research and valorization.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- Partially paid parental leave and an allowance for commuting, working from home and internet costs.
- A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
- A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
Additional information
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact prof. Yoeri van de Burgt, phone +31 40 247 4419, y.b.v.d.burgt[at]tue.nl or
prof. Marco Fattori, +31 40 247 7370, M.Fattori[at]tue.nl
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Gemini, HRServices.Gemini[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application using the apply-button. The application should include a:
Only complete applications will be considered. Consideration of the candidates will begin immediately, until the position is filled.
Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.
We do not respond to applications that are sent to us in a different way.
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact prof. Yoeri van de Burgt, phone +31 40 247 4419, y.b.v.d.burgt[at]tue.nl or
prof. Marco Fattori, +31 40 247 7370, M.Fattori[at]tue.nl
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Gemini, HRServices.Gemini[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application using the apply-button. The application should include a:
- a personal motivation letter,
- a Curriculum Vitae including the names and contact details of at least two references,
- and an overview of current research activities and interests (1-2 pages).
Only complete applications will be considered. Consideration of the candidates will begin immediately, until the position is filled.
Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.
We do not respond to applications that are sent to us in a different way.
Specifications
- Postdoc
- Engineering
- max. 38 hours per week
- Doctorate
- V35.6330
Employer
Location
Interesting for you
Apply for this job
Apply for this job
This application process is managed by the employer (Eindhoven University of Technology (TU/e)). Please contact the employer for questions regarding your application.
Thank you for applying
Please contact the employer for questions regarding your application.
Tip: save this job as favorite in your AcademicTransfer account. This gives you an immediate overview and makes it easy to find the job later on. No account yet? Create it now and take advantage of other useful functionalities too!
Application procedure
Application procedure
Make sure to apply no later than 16 Apr 2023 23:59 (Europe/Amsterdam).