Description

The Johns Hopkins University’s Department of Chemical and Biomolecular Engineering seeks applicants for tenure-track/tenured faculty positions.  Candidates with research and teaching interests in Systems Theory (Design -from plant level to molecular- and/or Control) with a strong component in Data Science/Artificial Intelligence (DSAI) relevant to chemical and biomolecular engineering will be considered.

Candidates in these areas will contribute to the Department of Chemical and Biomolecular Engineering and Johns Hopkins University community and mission to educate tomorrow’s leaders in ChemBE and pioneer technological advancements to address critical global challenges in energy, materials design, and precision medicine, to build a stronger, cleaner, and healthier future.

Candidates in the Systems/Data Science/Artificial Intelligence area will perform original research at the interface between chemical engineering modeling/scientific computation and modern Data Science and Machine Learning. Possible efforts include but are not limited to modern design and optimization (e.g. in the role of AI in the transition from automated to autonomous process operations). Creative uses of DSAI in materials/chemicals/process discovery/design, or towards novel computational approaches to atomistic simulations or biological systems modeling are of direct interest.

The Department of Chemical and Biomolecular Engineering is highly collaborative with an established track record of national leadership and developing new disciplines within chemical and biomolecular engineering.  The Department has large, vibrant educational programs at the undergraduate, master’s, and Ph.D. levels as well as post-doctoral level.

This past year, Johns Hopkins announced a major new investment in Data Science and the exploration of Artificial Intelligence that will be included in a new data science and translation institute, a new state-of-the-art facility and recruitment of 110 new faculty over the next five years. The institute will bring together world-class experts in artificial intelligence, machine learning, applied mathematics, computer engineering, and computer science to fuel data-driven discovery in support of research activities across the institution including within the Chemical and Biomolecular Engineering department.

In addition to its role in this initiative, the department is a leader in other major research centers and institutes at Johns Hopkins, including the Ralph O’Connor Sustainable Energy Institute (ROSEI), the Institute for Nanobiotechnology (INBT), the Advanced Mammalian Biomanufacturing Innovation Center (AMBIC), International Biomanufacturing Network (IBIoNe) MINDS (Mathematical Institute for Data Science), the Maryland Area Research Computing Center (MARCC), the Hopkins Extreme Materials Institute (HEMI).  Faculty also collaborate frequently with scholars in the Johns Hopkins School of Medicine, Applied Physics Laboratory, Bloomberg School of Public Health, and the Krieger School of Arts and Sciences.

Applicants should have a Ph.D. in chemical and biomolecular engineering or a related field, a track record of outstanding research, and a commitment to excellence in education and student mentoring.

The expected base pay range for this position at a rank of Assistant Professor is $150,000-$200,000.

The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the WSE/ChemBE faculty compensation program or pay from participation in WSE/ChemBE incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.

Priority given to applications received before 10/31/2025.

Application Instructions:
Interested candidates should submit a cover letter, CV, references, and research and teaching statements.

Apply here: https://apply.interfolio.com/171939