Postdoctoral Scholars in Scientific Machine Learning
University of California Santa Cruz
Location: Santa Cruz, California
Internal Number: 4785529
Postdoctoral Scholars in Scientific Machine Learning
Position overview Position title: Postdoctoral Scholars in Scientific Machine Learning Salary range: The posted UCSC salary scales set the minimum pay based on the individuals Experience Level, which is determined by the number of months of postdoctoral service at any institution. See the salary scale titled, Postdoctoral Scholar-Employee /Postdoctoral Scholar-Fellow / Postdoctoral Scholar-Paid Direct -Fiscal Year. Both postdoctoral scholar positions will start at a minimum yearly salary of $70,000 (Fiscal Year). Starting salary may be higher than $70,000, based on the individual's qualifications and experience. UCSC postdoctoral scholars salaries as subject to 4.5% cost of living increase year over year.
Percent time: Full-time (100%)
Anticipated start: As soon as possible after initial review of the applications. Ph.D. must be in hand at time of the initial appointment.
Position duration:Maximum Duration of Service in a Postdoctoral Title: Postdoctoral Scholar appointments are full-time and the initial appointment is for a minimum of two years, with the possibility of reappointment. The total duration of an individuals postdoctoral service may not exceed five years, including postdoctoral service at any institution.
Open date: November 13, 2023
Next review date: Friday, Dec 15, 2023 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Tuesday, Jan 30, 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.
We are particularly interested in candidates whose research brings together high-performance scientific computing, applied mathematics, and machine learning to craft new generations of methods for complex applications across data-science and engineering. Priority will be given to the following interdisciplinary research areas: physics-informed machine learning (neural operators, epistemic/stochastic neural nets, generative modeling), probabilistic graphical modeling, multi-fidelity and reduced-order modeling, data-driven modeling, and uncertainty quantification. Consideration will also be given to candidates working in related research areas.
The overarching goal of the research work is to set a new paradigm in how we account for, estimate, and propagate uncertainty in complex multi-scale physical systems by building a new deep learning framework for modeling, inference, and probabilistic estimation. The research aims at advancing artificial intelligence (AI) and machine learning (ML) at their interface with data assimilation and prognostics of physical assets, in what we refer to as Digital Twin Ecosystems (DTEs). DTEs will mature in the not-too-distant future. However, related technologies of computing, telecommunication, and sensing, as well as supporting algorithms and underlying science will advance significantly in the same time period. This perceived co-evolution drives our vision for a modular and hierarchical DT architecture guided by mathematical rigor and scientific utility, based on interoperability of algorithms and software components.
The postdoctoral scholars will be assigned the following responsibilities.
Publish research papers on topics relevant to Digital Twin Modeling and Scientific Machine Learning.
Attend weekly research meetings and provide frequent research updates.
Write quarterly research reports and presentations.
Present research advances at conferences, workshops, and program reviews.
Work with graduate students on research papers.
The department of Applied Mathematics is part of the Baskin School of Engineering at UC Santa Cruz, and one of the very few applied mathematics departments housed in an engineering school nationwide. Established in 2018, the department offers a unique multidisciplinary and vibrant working environment, with rapidly growing PhD and masters programs in applied mathematics and scientific computing, and a new undergraduate major. Nestled in a beautiful redwood forest above the city of Santa Cruz, the department embraces groundbreaking interdisciplinary research across engineering, physical and mathematical sciences. Our proximity to Silicon Valley, and our satellite campus there, afford opportunities and avenues for collaboration with researchers working in the many research and development labs in Silicon Valley, as well as with the other San Francisco Bay Area universities.
Diversity, equity, and inclusion are at the forefront of our path to excellence in Baskin Engineering. UC Santa Cruz is a Minority-Serving Institution (MSI) with a high proportion of first-in-family students. UC Santa Cruz is a member of the Association of American Universities (AAU, an association of the top research universities in the US), a Hispanic-Serving Institution (HSI), a member of the Alliance of Hispanic-Serving Research Universities (HRSU), a member of the Computing Alliance of Hispanic Serving Institutions (CAHSI), an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI), and a member of several identity and ethnic affinity professional societies. We encourage applications from candidates who align with our Principles of Community.
APPLICATION REQUIREMENTS All documents and materials must be submitted as PDFs to Mathjobs.
Please refer to Position JPF01659 in all correspondence.
Letter of application that briefly summarizes your qualifications and interest in the position.
Curriculum Vitae: Your most recently updated C.V., which must include a list of published papers and manuscripts accepted or submitted for publication.
Up to three selected published papers or paper preprints.
A minimum of two confidential letters of recommendation**All letters will be treated as confidential per University of California policy and California state law. For any reference letter provided via a third party (i.e., dossier service, career center), direct the author to UCSCs confidentiality statement.
RECRUITMENT PERIOD Full consideration will be given to applications completed by December 15, 2023. Applications received after this date will be considered only if the position has not been filled.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the Universitys equal employment opportunity policies may be directed to the Office for Diversity, Equity, and Inclusion at the University of California, Santa Cruz, CA 95064 or by phone at (831) 459-2686.
Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check (see https://www.uscis.gov/e-verify). The university sponsors employment-based visas for nonresidents who are offered academic appointments at UC Santa Cruz (see https://apo.ucsc.edu/policy/capm/102.530.html).
UCSC is a smoke & tobacco-free campus.
If you need accommodation due to a disability, please contact Disability Management Services at [email protected] (831) 459-4602.
UCSC is committed to addressing the spousal and partner employment needs of our candidates and employees. As part of this commitment, our institution is a member of the Northern California Higher Education Recruitment Consortium (NorCal HERC). Visit the NorCal HERC website at https://www.hercjobs.org/regions/higher-ed-careers-northern-california/ to search for open positions within a commutable distance of our institution.
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.