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Tenure-Track: Assistant Professor (CHEN, AI and Machine Learning in Chemical Engineering)

Texas A&M University

  • College Station, TX
  • 26 days ago

    Highlights

    The Artie McFerrin Department of Chemical Engineering, College of Engineering at Texas A&M University invites applications for a full-time, tenure-track, assistant professor position with a 9-month academic appointment and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2027. The successful candidate will be expected to conduct original, scholary research; build self-sustaining research programs; teach both graduate and undergraduate courses and mentor students; and contribute an appropriate degree of service to the Department, College, University, and profession.

    Numbers & Facts

    LocationCollege Station, TX
    IndustryEducation
    Company Size500 to 999 employees
    Year Founded1876
    Websitehttp://www.tamu.edu/index.html

    Description

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    Tenure-Track: Assistant Professor (CHEN, AI and Machine Learning in Chemical Engineering)

    Chemical Engineering

    Location

    College Station, TX

    Open Date

    8/26/2026

    Position ID

    190610

    Description

    The Artie McFerrin Department of Chemical Engineering, College of Engineering at Texas A&M University invites applications for a full-time, tenure-track, assistant professor position with a 9-month academic appointment and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2027.

    The principal focus for this position is at the intersection of computational data science and Chemical Engineering. We are particularly interested in candidates whose research leverages Artificial Intelligence (AI) and Machine Learning (ML) to advance process systems design, process safety and risk analysis, optimization, characterization, and predictive modeling of materials.

    The successful candidate is expected to establish and sustain a nationally recognized, externally funded research program that integrates computational data science with chemical engineering. Areas of emphasis may include, but are not limited to, data-driven process modeling and simulation of complex, large-scale systems; AI-accelerated materials design, including structure-property relationships, self-assembly, and processing optimization; machine learning-driven characterization and stabilization of colloidal systems; physics-informed machine learning; generative models for materials discovery; advanced ML and AI methods for process design, safety and risk analysis, and high-throughput computational screening methodologies addressing fundamental and applied challenges in chemical engineering.

    The successful candidate will be expected to conduct original, scholary research; build self-sustaining research programs; teach both graduate and undergraduate courses and mentor students; and contribute an appropriate degree of service to the Department, College, University, and profession.

    Candidates must demonstrate a strong commitment to excellence in teaching and mentoring at both undergraduate and graduate levels, as well as active engagement in departmental, college, and professional service. The ideal candidate will articulate a clear vision for integrating experimental, theoretical, and data-driven approaches to solve complex problems at the forefront of chemical engineering research.

    Qualifications

    Applicants must hold a Ph.D. in Chemical Engineering or a closely related field, with an outstanding record of scholarly achievement, the ability to secure competitive research funding, and evidence of effective teaching and mentorship.

    Application Instructions

    Applicants must submit a cover letter, curriculum vitae, a personal Statement (your statement should include your philosophy and plans for research, teaching, and service as applicable), and a list of four contact references (including postal addresses, phone numbers and email addresses) by applying for this specific position at https://apply.interfolio.com/192372. Full consideration will be given to applications received by December 15, 2026. Applications received after that date may be considered until the position is filled. It is anticipated the appointment will begin in Fall 2027.

    For questions regarding the application process or other inquiries, please contact Mr. Mateo Andres (chenfacultyservices@tamu.edu).

    Application Process

    This institution is using Interfolios Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

    Apply Now

    Equal Opportunity/Veterans/Disability Employer.

    The University is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and therefore has a Dual Career Program.

    About Company

    Texas A&M University is dedicated to the discovery, development, communication, and application of knowledge in a wide range of academic and professional fields. Its mission of providing the highest quality undergraduate and graduate programs is inseparable from its mission of developing new understandings through research and creativity. It prepares students to assume roles in leadership, responsibility and service to society. Texas A&M assumes as its historic trust the maintenance of freedom of inquiry and an intellectual environment nurturing the human mind and spirit. It welcomes and seeks to serve persons of all racial, ethnic and geographic groups as it addresses the needs of an increasingly diverse population and a global economy. In the 21st century, Texas A&M University seeks to assume a place of preeminence among public universities while respecting its history and traditions.

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