Teaching Assistant Professor – Physics-Based Machine Learning and Artificial Intelligence

Description

The Mechanical Engineering (ME) Department in the College of Engineering at the University of Washington, Seattle, invites qualified candidates to apply for a full-time, faculty position at the Teaching Assistant Professor (non-tenure track) level. This position is specifically focused on teaching courses in data-driven engineering, machine learning, dynamics, and control. This position is on a 9-month service period with an anticipated start date of September 16, 2024. The base salary range for this position will be $9,000-12,000 per month.

This teaching assistant professor will support the AI Center for Dynamics and Control by developing and teaching courses in its growing suite of data-driven engineering educational programs for graduate and professional students. The University of Washington College of Engineering is working to develop and offer a variety of data science and machine learning certificates and stacked degree programs. The AI Center for Dynamics and Control is developing a proposed new stacked master’s degree in Artificial Intelligence and Machine Learning (AI/ML) for Engineering, as well as two associated proposed new graduate certificates. These programs will help working professionals become proficient in modern machine learning and artificial intelligence methods for engineering. These programs specifically focus on 1) machine learning and AI for engineering systems, including those that are governed by physical laws, and 2) application of machine learning in dynamical systems, sensing, estimation, and control.

Expected areas of teaching include: scientific computing, mathematical foundations of engineering, dynamical systems, control theory, and introduction to machine learning, as well as data-driven dynamics and controls. This position will be expected to train professional engineers, interface with industry, develop new programs, and develop pedagogical or evaluative tools.

The successful candidate will be expected to develop an internationally recognized program and to provide innovative, high-quality teaching, including incorporating diverse perspectives into their teaching and service endeavors and using evidence-based practices to support learning outcomes of students from a wide variety of backgrounds. The candidate would also be expected to collaborate with members of the Department as well as other faculty and staff within the University and Affiliated institutions, participate in the Department’s graduate programs, and participate in the teaching, mentoring, and training of graduate students in the Department.

The Mechanical Engineering department’s research and teaching portfolio covers all aspects of the broad field of mechanical engineering, including interdisciplinary work in engineering in medicine, robotics and controls, materials, advanced manufacturing, and alternative energy. The department currently has 39 full-time tenured, tenure track, research, and teaching faculty, 700 undergraduates, 250 Master’s students, 150 PhD students and 30 postdoctoral researchers and continues to grow. More information about the ME department is available at http://www.me.washington.edu.

The University of Washington is committed to combating the racism and inequities, both individual and institutional, that persist throughout our society (https://www.washington.edu/raceequity/), and we believe that the innovation, collaboration, and rigor that result from diversity, equity, and inclusion are critical to our scholarly mission. In keeping with our commitment, successful candidates will be expected to contribute to Diversity, Equity and Inclusion initiatives and activities. The University is building a culturally diverse faculty and staff and strongly encourages applications from women, underrepresented minorities, individuals with disabilities and covered veterans. The University is a first-round awardee of the National Science Foundation’s ADVANCE Institutional Transformation Award to increase the advancement of women faculty in science, engineering, and math (see www.advance.uw.edu). Moreover, the College of Engineering has consistently had one of the highest percentages of women faculty in the top 50 colleges of engineering (US News and World Report Undergraduate Rankings). Additionally, the University’s Office for Faculty Advancement promotes the hiring, retention, and success of a diverse and inclusive faculty at the University of Washington.

Qualifications

• PhD or foreign equivalent in Mechanical Engineering, Applied Mathematics, Computer Science, or related discipline.
• Expertise in developing and teaching courses in relevant fields including, but not limited to: data science, machine learning, AI, dynamical systems, control, and/or mathematical foundations of engineering.

Application Instructions

1) Cover letter addressing qualifications

2) Curriculum vitae

3) Statement of teaching philosophy and interest, including any available evidence of teaching excellence (3 pages max)

4) A statement of how you have contributed to diversity, equity, inclusion, and accessibility in your previous teaching and/or service roles and how you plan to contribute to the UW’s efforts and goals in DEIA (2 pages max)

5) Names and contact information for at least three references who will be prepared to submit letters of recommendation upon request

Applications can be submitted at: APPLY.INTERFOLIO.COM/142311. Review of applications will begin April 8, 2024, with applications accepted until the position is filled

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).

Equal Employment Opportunity Statement

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).

Privacy Notice

Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights.

Disability Services

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

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