PhD on neuromorphic computing & engineering: algorithms & hardware architectures

Job description

The Neuromorphic Edge Computing Systems (NECS) Lab at the Eindhoven University of Technology invites applications for one Ph.D. position from a passionate and innovative young researcher. Our mission is to overstep the boundaries of artificial intelligence (AI) and neural networks, challenging the current computing paradigms by drawing inspiration from biological neural networks.

Despite significant advances in AI, current systems must catch up to the animal kingdom's efficiency in processing complex, real-time tasks with minimal energy in uncertain conditions. This limitation stems from a fundamental difference in design philosophy; while nature leverages distributed processing and inherent noise tolerance, modern computing relies on deterministic, bit-perfect operations with a clear separation between memory and computation. To bridge this gap, the NECS Lab is pioneering research into brain-inspired computing models that mimic the natural neural system's computational physics. Our research entails the development of novel brain-inspired computing theories, learning systems, and the design of ultra-low-power circuits, systems, and computing architectures.

We are seeking one PhD candidate interested in performing research in the following areas:

1. Ultra-low-power Mixed-signal Circuits and Architecture: Design of novel CMOS-based architectures for spiking neural networks that embody the brain's adaptive capabilities.
2. Spike-based Neuromorphic Hardware for Machine Intelligence: Embedding complex AI functionalities into heterogeneous neuromorphic hardware that integrates emerging technologies (e.g., ReRAM, Phase-Change Memories) with traditional CMOS for increasing the energy efficiency of embedded devices.

With these research focus, the NECS lab aims to push the boundaries of energy efficiency and integration of AI-capabilities in embedded devices, paving the way for a new generation of neuro-inspired processors for efficient autonomous agents.

Job Description

We offer an exciting Ph.D. opportunity for a pioneering approach to neuromorphic engineering and computing, drawing inspiration from neural mechanisms observed in biological neural systems.

Key responsibilities:

1. Engage in groundbreaking research to develop advanced neuromorphic sensing, and computing systems by taking inspiration from the sensing and computing capabilities of natural neural systems.
2. Innovate in the areas of signal encoding, processing pipelines, and embedded computer architectures to emulate bio-inspired computational models effectively.
3. Explore and implement beyond traditional deep learning techniques, moving towards the next generation of neuromorphic technologies. This includes leveraging spiking neural networks' efficiency, parallelism, and adaptability for enhanced sensing and computing.
4. Delve into new bio-inspired theories and connect them to hardware architectures.

Job requirements

• A master’s degree (or an equivalent university degree) in Electrical Engineering, Computer Science, Physics, or related fields, with an interest in neuromorphic computing and engineering.
• Has a strong background in one or more of the following:
  • Analog mixed-signal designs, devices, and general knowledge of semiconductor physics. modeling, and electronic system design.
  • Knows circuit simulation and VLSI design (spice, cadence, Synopsys tools).
  • Experience with hardware architecture, FPGA, and system-level simulation is desirable.
  • A good theoretical understanding of statistics and machine learning theory.
• Strong analytical skills and proficiency in programming and simulation tools.
• Ability to work independently and collaboratively in a multidisciplinary team.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

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 four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,872 max. €3,670).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

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.

The Neuromorphic Edge Computing Systems Lab (NECS) is managed by Dr. Federico Corradi and is part of the Electronic Systems (ES) group (tue.nl/es). The ES group is a top research group consisting of five full professors, three associate professors, five assistant professors, several postdocs, about 40 EngD and PhD candidates, and support staff. The ES group is world-renowned for its design automation and embedded systems research. Our ambition is 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.

Curious to hear more about what it is like as a Ph.D. candidate at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Federico Corradi, assistant professor, f.corradi@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Linda van den Boomen, HR advisor, l.j.c.v.d.boomen@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 by using the apply button.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.       
• Curriculum vitae, including a list of your publications and the contact information of three references.    
• Transcript of master's and bachelor's 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).

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.