Stanford University

LIRMM Neuromorphic Computing

Application deadline: February 26, 2020

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LIRMM – Laboratory of Informatics, Robotics, and Microelectronics of Montpellier is a 350-person cross-faculty research entity of the University of Montpellier and the CNRS. LIRMM research activities cover a broad range of topics, including: design and verification of integrated, mobile and communicating systems, modeling of complex systems, research on algorithms, bioinformatics, human-machine interaction, robotics, database, distributed systems, AI, knowledge engineering and more. Since 2008, LIRMM has been involved in more than 40 EU projects). LIRMM obtained A+ during the HCERES 2010 & 2014 evaluations. In addition, LIRMM has chosen health, agriculture and environmental sciences as priority domains of application for its research in Informatics and Robotics.
In 2020, LIRMM and Stanford University will partner under the International Research Laboratory program from CNRS to facilitate staff and student exchanges as well as supporting existing and future scientific collaborations in the next 4 to 8 years. Existing collaborations cover different fields of research from computer science to robotics and have already accomplished great scientific outcomes in: (i) Underwater robotics, (ii) Medical robotics, (iii) Semantic Web.
Between 6/15/20 and 8/7/20
Up to $5,000 (funding provided by LIRMM)
Grant recipients will be required to submit a three-page report within two weeks after their return.
Recipients for this internship must be enrolled at Stanford the quarter following the completion of the project for which they received funding. Thus, students who wish to pursue a fellowship the summer after their senior year may do so, but only if they apply for and receive permission from the University Registrar to enroll for a “graduation quarter” the following fall. More information on graduation quarters can be found here.
Neuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems. Mimicking the human brain and nervous system, these computing architectures are excellent candidates for solving complex and large-scale associative learning problems. In this internship, we will investigate and design oscillatory neural networks (ONN) for implementing neuromorphic computing. We will compare it to more conventional Spiking Neural Networks (SNN) or non-spiking Artificial Neural Networks (ANN) for performance and energy efficiency.
Undergraduate students (Freshman/Sophomore/Junior/Senior)
Language requirement
English is spoken in the lab. French is helpful, but not required.
This internship is open to undergraduate students at any level (Freshman to Senior level). This internship is particularly well suited for students with a background in computer science or electrical & computer engineering, knowledge and experience on neural networks such as spiking neural networks, motivation and curiosity.
Applicants should submit the following documents:

  • Application form
  • Itemized budget
  • Letter to be addressed to the France-Stanford Center Director describing your research interests and why you are applying for the position. Please explain the nature of your background and skills in computer science or electrical and computer engineering, experience on neural networks. Where and how did you acquire the relevant training? Are there particular courses you took, particular research projects you pursued, etc.? (1 page, ~ 800 words)
  • Recommendation letter from the applicant’s advisor, discussing the applicant and the merits of the proposed visit (1 page). Request this recommendation on your application form
  • Applicant’s resume (1 page)
  • Unofficial Stanford transcript

Isabelle Collignon,
Dr. Aida Todri-Sanial,