Job Description

The Department of Mechanical Engineering at the University of California, Santa Barbara is seeking a passionate and innovative individual to join our faculty as an Assistant Professor specializing in Computational Science, Engineering, and Artificial Intelligence (AI) for Scientific Computing. This full-time, tenure-track position offers an opportunity to contribute to world-class research, mentor future leaders, and innovate in teaching at one of the nation's top engineering schools.

Start Date: July 1, 2025, or later

Why UCSB?
UC Santa Barbara is renowned for its collaborative environment, cutting-edge research, and commitment to diversity. Designated as a Hispanic-Serving Institution (HSI) and an Asian American Native American Pacific Islander-Serving Institution (AANAPISI), UCSB thrives on fostering an inclusive academic community.

We’re also proud participants in the Benjamin Banneker Initiative, a special faculty recruitment program aimed at diversifying STEM research, teaching, and curriculum. As a faculty member, you may become part of a cohort of Banneker Fellows with access to professional development, proposal training, and seed grants to jumpstart your academic journey.

Position Highlights

• Teaching & Mentoring: Inspire the next generation of engineers by teaching at undergraduate and graduate levels and mentoring a diverse student body.
• Groundbreaking Research: Develop a funded research program of the highest quality, contributing to computational science, engineering, and AI advancements with interdisciplinary collaboration.
• Impact & Collaboration: Work across UCSB’s College of Engineering to drive innovation and leverage synergies within the department and campus-wide.
• Champion Diversity: Promote diversity, equity, and inclusion in research, teaching, and service, reflecting UCSB’s values.

What We’re Looking For

• Basic Qualifications:
  • Completion of all Ph.D. requirements in Mechanical Engineering or a closely related field (except the dissertation) at the time of application.
  • Ph.D. must be conferred by the time of appointment.
• Preferred Qualifications:
  • Strong publication record in top-tier journals.
  • Experience with collaborative and interdisciplinary research.
  • Demonstrated excellence or potential in teaching and mentoring students.
  • Commitment to advancing diversity and inclusion in academia.

How to Apply

• Documents Required:

  1. Curriculum Vitae: Include your most recent accomplishments.
  2. Cover Letter: Limited to two pages, highlight:
     • Your most significant scientific contributions.
     • Vision for a research program at UCSB.
     • Qualifications that make you a strong fit for this role.
  3. Statement of Research: Outline your plans and goals for impactful research.
  4. Statement of Teaching: Reflect on your teaching philosophy and experiences.
  5. Statement of Contributions to Diversity: Demonstrate how your work promotes diversity and equitable access in education.

• References: Provide 3-5 letters of reference through the UC Recruit system.

Apply at: UC Recruit

Application Timeline

• Open Date: October 16, 2024
• Priority Review Date: December 1, 2024
• Final Deadline: June 30, 2025

Why Santa Barbara?
Santa Barbara offers a vibrant academic and natural environment, nestled between the Pacific Ocean and the Santa Ynez Mountains. Known for its collaborative community, world-class research opportunities, and stunning landscapes, UCSB provides an unmatched work-life balance.

Salary & Benefits
The UC system-wide salary scales determine pay. Estimated full-time rates for this position range from $108,500 to $140,000 annually. UCSB offers a competitive benefits package, professional development opportunities, and an inclusive work environment.

Equal Opportunity
UC Santa Barbara is an Equal Opportunity/Affirmative Action Employer, committed to creating a diverse and inclusive workplace. Applicants from underrepresented groups are encouraged to apply.

Ready to Make an Impact?
Join UCSB to advance research, mentor future innovators, and champion diversity in engineering and AI. Together, let’s shape the future of science and technology!