GLIMPSE OF THE JOB

Are you passionate about the future of materials science and eager to work at the cutting edge of computational chemistry and machine learning? The Department of Chemistry is seeking a motivated Research Program Aide to support innovative research at the intersection of computational chemistry, machine learning, and high-throughput materials discovery. In this role, you’ll assist with data curation, automation of computational workflows, and analysis of results to help design and screen organic functional materials. You’ll contribute to exciting projects involving neural network training, structure-property prediction, and the development of inverse design strategies. This opportunity is ideal for individuals with a strong interest in physical chemistry, cheminformatics, and scientific computing. Prior experience with Python and a foundational understanding of chemistry or materials science is preferred. If you’re ready to make an impact in a collaborative research environment, we encourage you to apply!

QUALIFICATIONS

• High School Diploma

A WELL-QUALIFIED CANDIDATE WILL ALSO POSSESS

• Experience and proficiency with Python programming.
• Basic knowledge of chemistry or materials science.
• Familiarity with machine learning techniques and tools.
• Ability to effectively communicate both orally and in writing.
• Strong analytical and problem-solving skills.
• Knowledge of computational chemistry and materials science principles.
• Ability to work independently and collaboratively in a research environment.
  Hourly Rate : $15 per hour
  Special Note : This position is funded from grant and/or contract funding, which is renewed through provisions of the grantor of the contract. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance.

Apply! Submit a resume/cv and cover letter. These documents will help us with the review process. You may upload these documents on the application under CV/Resume.