We will have two Research Experiences for Undergraduates (REU) summer programs:
- https://www.teuscher-lab.com/alife14_biomolecules_workshop/reucomputing (apply by Mar 7, 2021)
- https://teuscher-lab.com/altreu (apply by May 2, 2021)
Apply now!
We will have two Research Experiences for Undergraduates (REU) summer programs:
Apply now!
We are seeking an undergraduate student administrator to help us run the NSF-funded Research Experience for Undergraduates (REU) Site on “Computational Modeling Serving the City.”
Roshell Lamug, former REU site student and teuscher.:Lab summer intern received an award for her oral presentation on “Simulation and Analysis of Self-Assembled Silver Nanowires” at the Annual Biomedical Research Conference for Minority Students (ABRCMS). The conference was held in Indianapolis, IN, Nov 14-17 and was attended by over 2,500 STEM students.
Congrats!
The research group of Dr. Christof Teuscher has immediate openings for three paid undergraduate research positions in biomolecular and neuromorphic computation.
The goal of the project is to propose energy-efficient neuromorphic algorithms, architectures, and hardware capable of analyzing data generated by spectroscopic sensors with minimal power consumption. We will develop a new application-specific neuromorphic algorithm inspired by a locally competitive spiking sparse approximation, build small-scale functional prototypes incorporating filamentary resistive random-access memory (ReRAM) arrays as a proof-of-concept, and test them in a real-world setup. We will develop, build, and test more advanced devices and algorithms that directly harness the device properties, such as reservoir computing, as well as improve and optimize the prototypes. Demonstration hardware will incorporate nonfilamentary ReRAM arrays.
The undergraduate research position is funded by the Defense Threat Reduction Agency (DTRA). The project is a collaboration with the University of New Mexico.
Molecular computing is a promising computational paradigm, in which computational functions are evaluated at the nanoscale, with potential applications in smart molecular diagnostics
and therapeutics. However, despite recent advances in the field, prospects for direct application of these techniques to solve real-world problems are limited by the lack of robust interfaces between molecular computers and biological and chemical systems. This project will address these limitations by targeting two application domains, wide-spectrum chemical sensing and
cell surface analysis using molecular logic cascades. Drawing on a combination of experimental, theoretical, and computational tools, molecular computing systems will be developed for use in these application domains. Molecular circuit architectures that process sensor inputs from chemical sensors and cell-surface analysis reactions will be designed, modeled, and implemented in the laboratory, and computational modeling will be used to predict and optimize interactions between DNA circuit components and their binding targets. Furthermore, advanced molecular circuit architectures capable of adaptive, bio-inspired behavior, such as dynamic learning and adaptation, will be designed, with a view to future experimental implementations of these features.
The undergraduate research positions are funded by the National Science Foundation (NSF). The project is a collaboration with the University of New Mexico and Columbia University.
Our goal is to develop disruptive new computing paradigms and machines that will allow for lasting breakthroughs and open new application domains in the next 5-20 years. For more information, see the research and mission pages.
E-mail the following documents to to teuscher@pdx.edu:
The positions remain open until filled.
Please do not hesitate to contact me in case of questions.