"Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics"

The Department of Biomedical Informatics and Medical Education provides training, research, and service in education and informatics across the breadth of health sciences and health care. Faculty interests and activities include: physician performance assessment, evidence based medicine, physician/patient communication skills, systems for clinical decision support, case based instruction, knowledge representation, retrieval and analysis, health professions diversity, public health informatics, health workforce projections, teaching and program evaluation and competencies for primary care.

The Luo Lab in the Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine learning classification / prediction results.

The Luo lab is in UW Medicine’s South Lake Union campus near the city center of Seattle. The University of Washington, and the Seattle area in general, offer an excellent community and programs in computer science, medical informatics, and related fields.

The salary for this position will be $5,705 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.

The position is a full-time, 12-month (one-year) appointment, which may be extended (upon successful performance), subject to funding and mutual agreement. The Postdoctoral Scholar title is limited to five years, including postdoctoral experience(s) at UW and other institutions. Anticipated earliest start date of 1/2/24.

Postdoctoral Scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/2019/06/03/agreement-reached-with-uaw-postdoctoral-scholars-on-2019-2021-contract).

For questions please contact Dr. Gang Luo (luogang@uw.edu).

The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka, Tensorflow, and PyTorch is a plus.

Applications should consist of a cover letter, curriculum vitae, statement of future research interests, a statement describing the applicant's experience and commitment to diversity, equity and inclusion, and three letters of reference.

Applications will be accepted until the position is filled.

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

Benefits Information

A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/. Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits.

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint/). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432).