The Clinical Neuroscience Lab has openings for undergraduate assistants for the 2017-2018 academic year

The Clinical Neuroscience Lab has openings for undergraduate assistants for the 2017-2018 academic year

start: 2017-08-30

Project Background:  The goal of our lab is to understand the cognitive and biological mechanisms of psychotic disorders, with a focus on schizophrenia. We are particularly interested in how alterations in brain function are related to cognitive and social difficulties, psychotic symptoms (like hallucinations and delusions) and more generally to the subjective experience of individuals who have been diagnosed with psychotic disorders. In our group, we use a range of methods to answer these questions, including functional MRI, diffusion tensor MRI, eye tracking, and experimental psychology paradigms. A deeper understanding of symptoms and their mechanisms hold the promise to lead to more targeted and effective behavioral and pharmacological treatment options.

Undergraduate Responsibilities: Undergraduate assistants will have an opportunity to participate in a variety of research activities, including assisting with research design, running participants, participating in clinical interviews with individuals diagnosed with bipolar disorder and schizophrenia, and analyzing data. Many of these experiments use eye tracking technology, so you will also gain experience with eye tracking methods.

Requirements: Scheduling is flexible but you must commit to a minimum of 10 hours per week for the entire academic year. You should have a GPA of over 3.5. If selected, you would begin in early September and the expectation is that you would continue through the end of the school year.  You can work either as a volunteer or for credit (PSY 491). Experience with Matlab and/or Python is desirable.

If you are interested in joining the lab, please email the following information to the lab director, Dr. Katy Thakkar at

  1. CV/Resumé
  2. A one-page essay describing your interest in this area
  3. A document outlining your technical and quantitive skills (e.g. statistical skills, statistical software experience, other software experience, programming experience, operating technical equipment, etc.)
  4. How many hours you are available in the Fall semester and the days/times that you are available.
  5. Transcript (unofficial is fine)