This website uses cookies, which are small text files that are used to make websites work more effectively. In order to continue using this website, you will need to accept the use of cookies.


The Department of Atmospheric Sciences at the University of Washington is seeking a full-time postdoctoral researcher (Research Associate 0148) with research interests in sea ice prediction, analysis, and programming in Python. Experience with Python is required in this position. The research is supported by ONR. The successful applicant will be supervised by Professor Cecilia Bitz.

Terms of appointment are for one (1) year, renewable for a second year, subject to performance and availability of funding. Successful applicants must hold a Ph.D. or foreign equivalent in Atmospheric Sciences or a related field in order to assume a postdoctoral position. To hold a position of research associate at University of Washington, an employee must be within 6 years of receiving their terminal degree, unless an exception is approved by academic human resources.

Applicants must submit electronically in one file: (1) a curriculum vitae, (2) a publication list, and (3) the names of three individuals who can provide a letter of reference, and (4) a statement of professional interests. Applications should be emailed to Wanjiku Gitahi at This email address is being protected from spambots. You need JavaScript enabled to view it., and inquiries about the position may be made to Cecilia Bitz at This email address is being protected from spambots. You need JavaScript enabled to view it.

Review of the applications will begin 15 November 2017 and continue until the position is filled. The position is available immediately, but the start date is negotiable.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.