Assistant Professor of Computation, Big Data Analytics & Machine Learning in Mechanical & Aerospace Engineering

Position overview
Position title: Assistant Professor (tenure-track)
Salary range: A reasonable salary range estimate for this position is $94,300 - $206,300. ​​
The posted UC Academic salary scales set the minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t3.pdf
The base salary range, from the salary table(s), for this position is $94,300 - $118,700. ​
“Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. ​
​Additional UCSD salary information can be found here: https://aps.ucsd.edu/compensation/apo-salary.html

Application Window

Open date: September 18, 2023

Most recent review date: Wednesday, Nov 15, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Jan 31, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The Department of Mechanical and Aerospace Engineering (MAE) at the University of California, San Diego, invites applications for an Assistant Professor (tenure-track) position in Computations, Big Data Analytics & Machine Learning. (ML)

We seek candidates with a research focus on both the development and application of computation, data-driven and evidence-based approaches in connection with current and emerging areas of MAE. Examples include, but are not limited to: fluid mechanics, solid mechanics and materials, plasma physics and engineering, advanced manufacturing, autonomous vehicles, aerospace applications, robotics and control, biomechanics, healthcare, and large-scale infrastructure systems monitoring. ML has the potential to revolutionize scientific knowledge and create technological innovations across multiple disciplines in MAE by integrating first principles from engineering science and domain-specific knowledge with heterogeneous multi-dimensional experimental and synthetic data streams to scale development and accelerate scientific progress. Candidates would work on advancing novel ML methods (e.g., data-driven computing and optimization enhanced by ML) that can advance the field with a clear application in MAE. The successful candidate also will be expected to contribute to teaching with a focus on integrating ML into the existing curriculum.

The required job duties for this position encompass:
1. Establishing a robust research program, which involves the development of grant proposals & securing funding.
2. Teaching university students at both the undergraduate and graduate levels;
3. Maintaining professional competency in related discipline;
4. Participating in a variety of service activities.

In this role, we expect a successful candidate will exhibit clear potential for growth & tangible outcomes in their respective discipline, particularly in the following areas:
1. Continuing to develop strong teaching skills.
2. Aspirating toward exceptional scholarly achievements.
3. Striving to deliver high-quality work and research.
4. Displaying a genuine passion for creative pursuits.

For more information on the Professorial Series visit: https://ucop.edu/academic-personnel-programs/_files/apm/apm-220.pdf

We especially welcome candidates who have contributed to programs that increase the access and success of underrepresented students or faculty in engineering and who are committed to, and experienced in, building an excellent and diverse academic environment.

The Jacobs School of Engineering at UC San Diego is committed to building an excellent, diverse and inclusive faculty, staff, and student body (https://jacobsschool.ucsd.edu/about/diversity

For applicants interested in spousal/partner employment, please see https://aps.ucsd.edu/recruitment/pop/index.html for the UC San Diego Partner Opportunities Program.

Department: https://mae.ucsd.edu/

Qualifications
Basic qualifications (required at time of application)

Applicants must possess a PhD or have advanced to candidacy at the time of application, in the area of Engineering or a related discipline.

Additional qualifications (required at time of start)

PhD Degree

Preferred qualifications

Preferred candidates will have demonstrated accomplishments in areas contributing to diversity, equity, and inclusion, such as increasing the access and success of underrepresented students or faculty in engineering. Candidates should have a desire to participate in the School's diversity initiatives (http://www.jacobsschool.ucsd.edu/diversity/ ).

Application Requirements
Document requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter

• Statement of Research

• Statement of Teaching

• Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity and Expectations of the Contributions to Diversity Statement site for more information.

• Misc / Additional - Optional documents such as: publications, awards, work-in-progress, and other related documents.
  (Optional)

Reference requirements

• 4-5 required (contact information only)

Apply link: https://apol-recruit.ucsd.edu/JPF03688

Help contact: [email protected]

About UC San Diego

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all University controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf . This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.

Job location
La Jolla, CA