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Immediate Openings: Three Paid Undergraduate Research Positions

The research group of Dr. Christof Teuscher has immediate openings for three paid undergraduate research positions in biomolecular and neuromorphic computation.

POSITION 1: 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.

Desired Qualifications:
  • Undergraduate student in CS, ECE, physics, or related disciplines.
  • Highly motivated, responsible, independent, with outstanding work ethics.
  • Outstanding academic records.
  • Excellent programming skills.
  • Ability to work at least 1 day (~8h) per week on the project. More is better.
  • An interest in neuromorphic computation.
  • Any knowledge about neural networks would be most useful.
  • Ability and willingness to learn new things.
What will you do:
  • Write software for neuromorphoc computing systems that learn and adapt.
  • Develop new models.
  • Run simulations.
  • Analyze data.
  • Create plots and visualizations.
  • Write and compile reports.
  • Participate in regular project meetings.

POSITION 2 and 3: BIOMOLECULAR COMPUTATION

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.

Desired Qualifications:
  • Undergraduate student in CS, ECE, biology, physics, or related disciplines.
  • Highly motivated, responsible, independent, with outstanding work ethics.
  • Outstanding academic records.
  • Excellent programming skills.
  • Ability to work at least 1 day (~8h) per week on the project. More is better.
  • An interest in biomolecular computation.
  • Any “bio” background would be most useful.
  • Ability and willingness to learn new things.
What will you do:
  • Write software for biomolecular computing systems that learn and adapt.
  • Develop new models.
  • Run simulations.
  • Analyze data.
  • Create plots and visualizations.
  • Write and compile reports.
  • Participate in regular project meetings.

WHAT YOU GET:

  • An hourly wage. 
  • An opportunity to work on a cool project.
  • An opportunity to work on a larger team.
  • An opportunity to make an impact.
  • An opportunity to gain experience.
  • An opportunity to travel to project meetings and/or conferences.

WHAT teuscher.:Lab DOES:

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.

APPLICATION:

E-mail the following documents to  to teuscher@pdx.edu:

  1. Your resume
  2. A letter of motivation that describes
    • why you want to get involved in undergrad research,
    • how this fits into your longer-term career plans,
    • and why you think you are an outstanding candidate for this project.
  3. Two references that I can contact.

The positions remain open until filled.

QUESTIONS:

Please do not hesitate to contact me in case of questions.

Immediate Opening: Grad or Undergrad Student for Statistical Data Entry and Analysis

The research group of Dr. Christof Teuscher has an immediate opening for a paid position for a graduate and/or undergraduate student with knowledge in statistical data entry and analysis. The student will analyze a large amount of data from students that were involved in graduate and undergraduate research in Dr. Teuscher’s lab. Over the last 8 years, each of them completed weekly progress reports, kept task lists, completed a weekly self-evaluation, and received personal feedback once or twice a term. The goal of the research project is to determine metrics and predictors for success in undergraduate and graduate research.

DESIRED QUALIFICATIONS:

  • Graduate or undergraduate student in psychology, sociology, systems science, or related disciplines.
  • Knowledge in statistical data analysis.
  • Knowledge of statistical software, such as R or SPSS.
  • Highly motivated, responsible, independent, with outstanding work ethics.
  • Interested in educational research.
  • Outstanding academic records.

WHAT YOU WILL DO:

  • Data entry (enter student evaluation forms into spreadsheet).
  • Analyze and code wiki project reports and weekly self-evaluations.
  • Anonymize the data.
  • Basic data analysis (using SPSS, R, or other software).
  • Advanced data analysis (using SPSS, R, or other software).
  • Create plots an visualizations.
  • Write and compile reports.
  • Collaborate with the PSU Survey Research Lab.
  • Participate in regular project meetings.

WHAT YOU GET:

An hourly wage. An opportunity to work on a cool project. An opportunity to make an impact. An opportunity to gain experience.

WHAT teuscher.:Lab DOES:

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.

APPLICATION:

E-mail your resume with a letter of motivation to teuscher@pdx.edu. The position remains open until filled.

QUESTIONS:

Please do not hesitate to contact me in case of questions.