Baylor University seeks to fill both a tenure-track faculty position within the College of Arts & Sciences at the Assistant Professor level and fill a tenured faculty position within the College of Arts & Sciences at the Associate to Full Professor level effective Fall 2024. We are searching for a collaborative faculty member with research experience in Artificial Intelligence/Machine Learning for Materials Design (tenure-track) and Quantum Materials Synthesis (senior hire).  The ideal tenure-track candidate would develop new theoretical methods and computational tools based on artificial intelligence and machine learning to predict quantum, electronic, and magnetic properties of materials for next-generation applications.  The ideal senior candidate would use a broad range of synthesis techniques to precisely engineer optical and electronic materials for future quantum device applications.   These positions will be located in either the Department of Chemistry & Biochemistry or the Department of Physics, depending on the qualifications of the candidate selected.

Position URLs

apply.interfolio.com/126821 (tenure track, computational)

apply.interfolio.com/126741 (tenured, materials growth)

The College of Arts & Sciences place a high priority on fostering the success of students and faculty from diverse background. To achieve this, we are taking deliberate action to foster an academic environment committed to diversity and belonging (see https://diversity.web.baylor.edu/ and https://fdb.web.baylor.edu/ ).  Members of underrepresented groups are especially encouraged to apply.  

To learn more about the College of Arts & Sciences, the Department of Chemistry & Biochemistry, and the Department of Physics, please visit these links: www.baylor.edu/artsandsciences/ ; https://chemistry.artsandsciences.baylor.edu/ ; https://www.baylor.edu/physics/   

About Baylor University: Located in Waco, Texas, Baylor University is the oldest college in Texas. With a population of 21,000 diverse students, Baylor is one of the top universities in the nation, having been named an R1 institution by the Carnegie Classification in January 2022. Baylor is also on the honor roll of the "Great Colleges to Work For" from The Chronicle of Higher Education; Baylor offers competitive salaries and benefits while allowing faculty and staff to live in one of the fastest-growing parts of the state. Our strategic plan, Illuminate, guides the University as we continue to live up to Baylor's mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.

Qualifications

Successful candidates for the tenure-track position should possess an earned doctorate and post-doctoral experience, have a sustained record of research accomplishment, and evidence of the potential to generate extramural funding commensurate with their career stage. Successful candidates for our tenured position should possess an earned doctorate, have a sustained record of research accomplishment, and a record of sustained extramural funding commensurate with their career stage Applicants should have the ability and interest to teach undergraduate and graduate students as well as provide research mentorship and develop and maintain an externally funded program of research, and contribute to our doctoral programs.

Application Instructions

Please submit the following materials electronically via Interfolio:

(a) cover letter of application, (b) statement describing research agenda and funding goals, (c) curriculum vitae (d) copy of the transcript from highest-degree granting institution (unofficial copy acceptable for application), (e) contact information for three individuals who will provide letters of recommendation.

Candidates invited for an interview need to provide an official transcript from highest-degree granting institution. Complete applications must be submitted by 10/15/2023 (Quantum Materials Synthesis posiiton) or 10/22/2023 (Artificial Intelligence/Machine Learning position).

Questions concerning the computational position should be directed to, Kevin Shuford, Search Committee Chair, at kevin_shuford@baylor.edu.  Questions concerning the materials growth position should be directed to, David J. Hilton, Search Committee Chair, at david_hilton@baylor.edu.

Baylor University is committed to making information and resources that are available via the web accessible for all users. If you are a job seeker and need accessibility assistance or an accommodation in order to apply for one of our open positions, please call 254-710-2000.