Join The Lab

We believe that novel insights into the complexities of cognition, perception, and action benefit greatly when curious and enthusiastic minds from diverse backgrounds collaborate in a positive and inclusive environment. The VIU supports this culture by looking for inquisitive, creative people with expertise and/or interest in computational techniques from a broad range of scientific backgrounds. Former and current VIU members have come from Psychology, Computer Science, Mathematics, Physics, and Electrical Engineering, to name a few. If the idea of joining a diverse, supportive team that uses cutting-edge techniques and technologies (from eye tracking to deep learning to fMRI) to investigate the cognitive and neural mechanisms that give rise to our thoughts, experiences, and actions sounds appealing to you, then consider the VIU and reach out to us!

 

The VIU Lab In The Media

 

Graduate Students

While the VIU accepts graduate students primarily through the Department of Psychological & Brain Sciences, several former and current lab members are associated with other departments (such as Computer Science and Electrical & Computer Engineering) and programs (especially the Interdepartmental Graduate Program in Dynamical Neuroscience, DYNS). Applications are typically due the beginning of December for admission the following September. Please feel free to contact us if you often find yourself thinking about how you think/perceive and are considering PhD programs in cognition, perception, neuroscience, machine learning, and any related field or combination of fields.

 

Undergraduate Students (PSY 99/199 & Volunteers)

The VIU believes that the opportunity to participate in high-level scientific research should be granted to each and every inquisitive, responsible person who has an enthusiastic interest in the science of the mind and brain. Every quarter, the VIU welcomes new undergraduate research assistants (RAs) through the PSY 99 (lower division) and PSY 199 (upper division) courses. The first quarter must be taken P/NP, but returning RAs have the option of taking the course for a grade. Typically, students enroll for between 2 units (5 hours/week) and 10 units (10 hours/week). Typically, new RAs are assigned to a particular VIU researcher (usually a grad student or postdoc) who will supervise them as they assist on a project in any of a number ways. Especially for new RAs, this assistance will likely include the backbone of the scientific process, data collection, and will also include training on scientific methodology, high-tech equipment like eye trackers, and protocols for working with human subjects. The course also includes assigned reading of 2 to 4 scientific articles (both seminal papers in our field and important recent work from the VIU and other high-powered labs) and corresponding one-hour supplemental lectures given by VIU researchers that review the papers. Finally, a paper summarizing your work in the lab is due by the end of the quarter.

If you are interested, please click on the PBS Department's 99/199 course linked above. Then email our current Research Assistant Coordinator (see next paragraph) with: 1) Your name, 2) Class Standing, 3) Major, 4) Any potentially relevant classes you've taken including courses in PBS, ECE, CompSci, Mathematics, Biology, etc. (this is for our information when assigning you to projects/researchers, we welcome all levels of experience), and 5) A brief (few sentences) paragraph telling us what draws you to the VIU and the cognitive/perceptual science. We rotate our Research Assistant Coordinator role every quarter. Shravan Murlidaran is coordinating our Summer 2020 Research Assistants, while Hossein Mehrzadfar will coordinate in Fall 2020. If this information is out of date, you can email VIU Project Scientist Matthew Peterson.

Current RAs and those interested in applying for a position can follow this link to access more information about undergraduate research in the VIU, including lab and UCSB human subjects policies, tutorials, and a selection of readings from which many of our three quarterly PSY 99/199 lectures are drawn.

 

Postdocs

The VIU is always looking for thoughtful, positive-minded PhDs with exceptional computational skills and enthusiasm for cognitive/perceptual science. The VIU has enjoy high-impact contributions from postdocs with PhDs in Psychology, Electrical Engineering, Computer Science, and Mathematics, to name a few. Please contact Professor Miguel Eckstein and provide a description of your research accomplishments, career goals, and potential research interests (including why you believe the VIU is a strong fit for your interests).

Open, full-time Postdoctoral Scholar position – VIU now accepting applications

The Vision and Image Understanding Laboratory (Eckstein Lab), within the Department of Psychological & Brain Sciences at the University of California, Santa Barbara invites applications for an open, full-time Postdoctoral Scholar position with an anticipated start date of November 15, 2020. The laboratory is looking for individuals with particular emphasis in the area of computational human vision, computer vision, visual search, eye movements applied to problems in spatial reasoning, navigation, and medical imaging. The research seeks to answer fundamental questions about vision in humans and machines. The position will be for 1 year, with the possibility of renewal depending upon job performance and availability of funds. The Postdoctoral Scholar will have the opportunity to participate in activities by the Sage Center for the Study of the Mind and the Mind and Machine Intelligence Initiative.

BASIC QUALIFICATIONS
Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application in Psychological and Brain Sciences, Vision Science, Electrical Engineering, Computer Science, Medical Physics/Imaging, Mathematics, or related a field.

ADDITIONAL QUALIFICATIONS
Five years minimum research experience (including the years towards doctoral degree) in Vision Science, Computer Vision, Computer Engineering, Computational Neuroscience or Applied Mathematics, supported by a strong publication record, is required. In addition, the successful candidate should have training in computational vision and/or computer vision. 
PhD must be conferred by start of appointment.

PREFERRED QUALIFICATIONS
Applicants with training and experience in a subset of these areas will be given priority: visual search modeling. Bayesian ideal observers, computer vision, pattern recognition, machine learning and deep neural networks, computational modeling, medical imaging.

APPLICATION AND REVIEW PROCESS
Applications should be submitted electronically, and must include:

  1. Cover letter
  2. CV
  3. 2 Publications
  4. Names and Contact Information of two references

Applications received by September 25th will be given priority consideration, but the position will remain open until filled. To apply please visit the announcement of this position here on the University of California's Recruit site.

The Psychological & Brain Sciences Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the
position.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

 

Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Publication #1

  • Publication #2

Reference requirements
  • 2 required (contact information only)

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.