The CSE Fellows Program is intended to support exceptional postdoctoral researchers in computer science. The program seeks to recruit 1-3 fellows a year for a two year postdoctoral appointment working alongside a UCSD CSE faculty mentor.

Fellows will be joining a vibrant CS research community and will have access to the broader UCSD research enterprise, including the Halicioglu Data Science Institute, San Diego SuperComputer, the Design Lab, and UCSD Health.

The goal of this program is to enhance the diversity of research at UCSD CSE, while also preparing the Fellows for careers in academia or industry, and to offer opportunities for student mentorship, grant writing, and collaboration across disciplines.




Applications are due July 30, 2021.
Decisions will be made by August 6th.




Eleonore Ferrier

Faculty Mentor: Nadir Weibel
PhD: Sorbonne Université, Paris, France

Ferrier’s research areas are surgical education, human learning and pedagogy. During this fellowship, she hopes to create a plan for 3D-surgical learning videos that provides trainers with pedagogical guidelines and specific technologies to capture surgeries in 3D while providing learners with a 3D interactive and immersive surgical experience to learn from past surgeries using Virtual Reality (VR). 



Noah Fleming

Faculty Mentors: Russell Impagliazzo and Samuel Buss
PhD: University of Toronto

Fleming hopes to develop deeper connections between the size required of proofs in certain fragments of logic and the complexity of solving certain total search problems -- computational problems guaranteed to always have a solution. These connections have underpinned recent advances in the areas of circuit and proof complexity, and a deeper understanding of such connections will hopefully lead to further advancements.




Francesco Restuccia

Faculty Mentors: Sicun Gao, Nadia Polikarpova, Ryan Kastner
PhD: Sant'Anna School of Advanced Studies Pisa (Italy)

Restuccia will work on advancing the security and safety of modern system-on-chip (SoC) platforms for the requirements of modern critical applications, such as autonomous vehicles, avionics, and space applications. A specific focus will be on Deep Neural Networks (DNN) hardware acceleration on FPGA SoCs.