Refer a Friend or Colleague

If you would like to let a colleague know about this job, you can enter your name, e-mail address, your colleague or friend's name, and a short message below.

Your friend/colleague will receive an e-mail containing your message and the abreviated job description shown below.

Tell a Friend or Colleague About This Job

  • PhD in Machine Learning for Materials at UCLA
    Civil & Environmental Engineering
    University of California, Los Angeles

    The Physics of AmoRphous and Inorganic Solids Laboratory (PARISlab) at University of California, Los Angeles (UCLA) is seeking some outstanding candidates for several open Ph.D. positions. Special emphasis is placed on recruiting talented, self-motivated candidates with a solid background in materials science and engineering, mechanical engineering, civil engineering, and/or computer science.

    Open positions:
    The successful candidate(s) will work on applying artificial intelligence and machine learning techniques to facilitate the design of novel materials with tailored properties. The successful candidate(s) will develop data-driven models (regression, classification, optimization, etc.) for: (i) prediction materials properties, (ii) discovery of novel materials with unusual properties, (iii) image analysis and microstructure optimization, and/or (iv) identification of relevant structural fingerprints governing materials’ properties and functionalities. Data-driven models will inform and be informed by physics-based atomistic simulations (e.g., molecular dynamics).

    The candidate will work in the group of Prof. Bauchy at UCLA, in strong collaboration with other computational students/postdocs in PARISlab and experimental students/postdocs/faculty in the Laboratory for the Chemistry of Construction Materials (LC2). We are specialized in the modeling of disordered materials of engineering interest, but active collaboration with other research groups (Penn State University, Aalborg University, Arizona State University) focusing on the experimental aspects of these projects is encouraged and expected. More information can be found at:

    Required qualifications:
    For consideration, applicants should possess the following qualifications or attributes:
    • A B.S. and/or M.S. degree from a reputable university in a related thematic,
    • An interest in pursuing a research career,
    • A fundamental understanding of materials science and engineering,
    • A strong interest in programming and computational approaches is mandatory,
    • Previous experience in machine learning and/or data analytics is a plus,
    • Ability to work in an interdisciplinary team,
    • An interest in working in a fast-paced research environment.

    Applicants with relevant experience will be given special preference. The successful candidates will be expected to take personal initiative to structure tasks to meet project goals, network and communicate with other partners involved in the project, mentor undergraduate students, author high-impact publications, and report results at international conferences. The positions are funded for a period of 3-to-5 years.

    How to apply:
    If you meet the above requirements and are interested in this position, please provide by email ( a detailed resume, a short personal statement explaining your scientific and research interests, and contact information for three referees in support of your application (as PDF files). Recruitment will remain open until the positions are filled.

    Prof. Mathieu Bauchy —
    Physics of AmoRphous and Inorganic Solids Laboratory (PARISlab)
    Department of Civil and Environmental Engineering
    University of California, Los Angeles
    420 Westwood Plaza, 5731E Boelter Hall, Los Angeles, CA 90095, USA


RSS for the latest higher education jobs
Atom for the latest higher education jobs
Need a Sabbatical Home Near Los Angeles?

Looking for a higher education job?