Department
Chemistry & Biochemistry – Sci
Department Website Link
https://cbc.arizona.edu/
Position Highlights
The primary goal of the project is to advance the use of symbolic regression techniques for automated high-throughput workflows. The postion will involve both implementing new workflows and further develop the underlying machine learning code. Finally to validate predictions new density-functional theory calculations will need to be performed.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs.
Duties & Responsibilities
Implement new automated workflows using utilities such as atomate and test
them with new density functional theory calculations
Develop new symbolic regression techniques to get better results from the AI
models
Mentor Ph.D. and Undergraduate students on their thesis projects
Minimum Qualifications
- Ph.D. in Chemistry, Materials Science, or a related field upon hire.
Preferred Qualifications
Experience with C++ and python
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Benefits Eligible
Yes – Full Benefits
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Contact Information for Candidates
Debbi Busack
dbusack@arizona.edu
Documents Needed to Apply
Resume and Cover Letter
Special Instructions to Applicant
Diversity Statement
At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
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