View Jobs in All Categories:

Job Description

POSTDOCTORAL ASSOCIATE, Chemistry, to work in the group of Brett McGuire on the development of machine learning approaches to complex chemical mixture analysis.  Recent work in the group has resulted in a new application of natural language processing (NLP) approaches to modeling the composition of complex chemical mixtures, particularly in the interstellar medium (Lee et al. 2021 ApJL 917, L6).   Will work to adapt these approaches, and design new ones, to microwave spectroscopic analyses of chemical mixtures in the laboratory.  Will also be involved in the training and mentorship of graduate and undergraduate students in the laboratory, writing scientific publications, making effective written and oral presentations, and career development.  

REQUIRED: Ph.D. in chemistry, computer science, physics, or related field; documented expertise in machine learning; excellent written and oral communication skills; and the ability to work both independently and as part of a team.  PREFERRED:  expertise with chemistry-based applications of machine learning; familiarity with high-resolution molecular spectroscopy techniques; and proficieny with basic quantum-chemical calculations, Python, and/or LaTeX.  Job #22524

The initial term is for one-year, with annual renewals contingent upon performance for up to three years total. Longer terms beyond the third year may be possible contingent on funding.  The ideal start date would be August 2023 or earlier, but there is some flexibility. 

3/24/23