荷兰埃因霍温理工大学2023年招聘博士后职位（用振荡神经网络进行神经形态学计算）

埃因霍芬理工大学（Eindhoven University of Technology；荷兰语为Technische Universiteit Eindhoven；缩写为TU/e），位于荷兰王国埃因霍芬。TU/e作为欧洲卓越理工大学联盟战略成员，高度重视产学合作，其高质量的教学与科研在国际上享有很高的知名度，是欧洲著名理工大学之一。代尔夫特理工大学、埃因霍芬理工大学、特文特大学和瓦赫宁根大学共同组成4TU联盟，展开广泛的交流与合作活动。

Postdoc Position on Neuromorphic Computing with Oscillatory Neural Networks

Eindhoven University of Technology

Netherlands

June 30, 2023

Contact:N/A

Offerd Salary:Negotiation

Location:N/A

Working address:N/A

Contract Type:Other

Working Time:Full time

Working type:N/A

Ref info:N/A

Postdoc Position on Neuromorphic Computing with Oscillatory Neural Networks

Position

(Post-doctoral) Researcher

Irène Curie Fellowship

No

Department(s)

Electrical Engineering

FTE

1,0

Date off

30/06/2023

Reference number

V36.6648

Job description

The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) is seeking to hire an outstanding Postdoc candidate within the Horizon Europe project PHASTRAC.

Project

In recent years, we have witnessed an explosion of artificial intelligence (AI) applications which will continue to grow over the next decade. An intelligent and digitized society will be ubiquitous, enabled by increased advances in nanoelectronics. Key drivers will be sensors interfacing with the physical world and taking appropriate action in a timely manner while operating with energy efficiency and flexibility to adapt. The vast majority of sensors receive analog inputs from the real world and generate analog signals to be processed.

However, digitizing these signals not only creates enormous amount of raw data but also require a lot of memory and high-power consumption. As the number of sensor-based IoTs grows, bandwidth limitations make it difficult to send everything back to a cloud rapidly enough for real-time processing and decision-making, especially for delay-sensitive applications such as driverless vehicles, robotics, or industrial manufacturing.

In this context, PHASTRAC proposes to develop a novel analog-to-information neuromorphic computing paradigm based on oscillatory neural networks (ONNs). We propose a first-of-its-kind and novel analog ONN computing architecture to seamlessly interface with sensors and process their analog data without any analog-to-digital conversion. ONNs are biologically inspired neuromorphic computing architecture, where neuron oscillatory behavior will be developed by innovative phase change VO2 material coupled with synapses to be developed by bilayer Mo/HfO2 RRAM devices. PHASTRAC will address key issues: 1) Novel devices for implementing ONN architecture, 2) Novel ONN architecture to allow analog sensor data processing, and 3) Processing the data efficiently to take appropriate action.

This “sensing-to-action” computing approach based on ONN technology will allow energy efficiency improvement 100x-1000x and establish a novel analog computing paradigm for improved future human-machine interactions. The PHASTRAC consortium includes some of Europe's strongest research groups and industries, covering from device fabrication, circuit and architecture design to end use applications. We will demonstrate a first of its kind analog-to- information computing paradigm with industrial applications such as intelligent vehicle interior design and human-robotics interactions that opens the road for EU leadership in energy efficient edge computing.

Candidate

We are seeking highly skilled and motivated candidates to work on Neuromorphic ONN Computing and Multi-modal ONN learning.

The Postdoc will explore analog ONN neuromorphic computing paradigm with novel devices based on VO2 (oscillators) and MO/HfO2 (synaptic interconnections) materials. The focus is to develop circuit to architecture-level modules to design the mechanism for updating the non-volatile interconnection network depending on the transient state of the network. The overall objective is to implement learning functions in analog weights and realizable by MO/HfO2 devices. Various coupling schemes will be implemented and investigated with respect to the various learning rules and problems to be solved. Different problems will require different coupling schemes and learning rules; thus, the goal is to thoroughly assess the analog ONN requirements, learning mechanisms and its design implementation. We will also investigate the interface with sensor data to investigate reliability, performance, and noise sensitivity.

Job requirements

For this position we are looking for excellent, teamwork-oriented, and research-driven candidates with a PhD degree in Electrical Engineering, Computer Science or AI related topic and strong hardware/software design skills.

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 one year.

· 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 personal development program aimed to develop your social and communication skills (see https:// www. tue.nl/PROOF3TU).

· Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

· 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.

Information and application

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.

Electronic Systems group

The Electronic Systems group (tue.nl/es) is a top research group consisting of five full professors, two associate professors, seven assistant professors, several postdocs, about 40 PDEng and PhD candidates, and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber- physical systems. The trajectories are constructive and lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact dr.ir. Sander Stuijk, email s.stuijkattue.nl, https:// www. es.ele.tue.nl/~sander.

Visit our website for more information about the application process or the conditions of employment. Yor contact Mrs. Linda van den Boomen, HR advisor, email l.j.c.v.d.boomenattue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Please visit www. tue.nl/jobs to find out more about working at TU/e!

Application

If you are interested in working in an exciting, dynamic, high-tech environment, where you will contribute to creating the society of the future, we invite you to submit a complete application by using the 'apply now' button on this page.

The application should include:

· Cover letter in which you describe your personal motivation and qualifications specifically for the position.

· Curriculum vitae.

· Transcript of master and bachelor degrees.

· Copies of your final MSc thesis, including English abstracts, and (if applicable) published papers (PDF files). Submit at least one document written in English of which you are the main author.

· Results of your IELTS or TOEFL test (or equivalent).

· And the contact information of two academic referees.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

应聘时请将简历抄送一份到：chinayanjiusheng@126.com，邮件标题：应聘单位名称、姓名、学历、专业、博士研究生招聘网