As part of the university's comprehensive vaccination program, all Cornell employees are required to have and provide proof of an FDA-or WHO-authorized or approved COVID-19 vaccine and booster or have obtained a university-approved disability/medical or religious exemption, regardless of their role and work location.
New hires are required to provide documentation showing full vaccination status (that is, completion of two shots of the Moderna or Pfizer vaccine or one shot of the Janssen/Johnson & Johnson) before their first day of work. If a new hire's vaccination is not complete or information is not received by their start date, the first day of work will be delayed. It is possible in some cases that an offer of employment may be withdrawn.
For additional information on Cornell's Vaccination/Booster
Compliance Program click here.Postdoctoral Associate
| Design and Augmented Intelligence Lab at Cornell University
The Design and
Augmented Intelligence Lab (DAIL) at the Department of Human Centered Design,
Cornell University (https://www.dail.human.cornell.edu/) is seeking to hire
Postdoctoral Associate to contribute to our current projects in the lab. The
postdoctoral associate will contribute to research efforts at the intersection
of environmental psychology, design, and neuroscience, including studies in
which we use a variety of mobile brain-body imaging (MoBI) techniques (EEG,
GSR, eye-tracking, motion tracking) to study the human behavior during
wayfinding in indoor environments. The position is fully funded for one year
with the potential for renewal. The position involves:
- Lead in collecting, processing, and analyzing
MoBI data for ongoing and future spatial navigation studies in the lab.
- Create research project standard operating
procedures.
- Prepare Institutional Review Board (IRB)
protocols and periodic internal reports and status updates.
- Data management.
- Writing research papers for peer-reviewed
journals and conferences.
- Lead and train Research Assistants of varied levels.
Qualifications - Applicants must have obtained or be in the
process of obtaining a doctoral degree in related fields and relevant research
experience.
- Strong written communication and experience
with scientific writing and publication.
- Experience with multidisciplinary science.
- Advanced knowledge of neuroscience, digital
signal processing, and computational neuroscience.
- Experience with mobile EEG recording and
analysis. Additional expertise in analyzing GSR, motion capture, and eye
tracking data is strongly preferred.
- Knowledge and experience in application and
algorithm developments in machine learning and visualization: MATLAB or Python.
- Experience overseeing research assistants; and
demonstrated ability to work well independently and collaboratively.
Application
The following
documents must be uploaded when applying through Academic Job Online: https://academicjobsonline.org/ajo/jobs/21733
- Cover letter describing
research experience, fit for the position, and future interests (2 pages
max)
- CV (including full publication
list)
- Statement of contribution to
Diversity, Equity, and Inclusion
- Provide names and email
addresses of three references as part of the application process. When
ready, the hiring department will contact the listed references via email,
requesting their reference letters to be uploaded directly to the
application website.
Review of applications will begin immediately
and continue until the position is filled. The final candidate will be required
to provide an official transcript to the hiring department upon hire. The start
date can be as soon as Summer 2022 but is flexible.
Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. |