The Data Science Learning Division at Argonne National Laboratory, DSL, seeks a Predoctoral Appointee to conduct research as part of a team on applying artificial intelligence techniques to develop laboratory control systems. This project focuses on applying state-of-the-art AI methods to data to transform hypotheses into a) human-readable detailed steps that can be executed in a lab and b) machine instructions that control laboratory instrumentation. Additionally, the project will develop techniques that provide a robust interpretation of the results extracted from such approaches.

　　Position Requirements

　　Recent Masters Degree and 0+ years of experience.

　　Knowledge of deep learning, large language models, and associated tools and libraries.

　　Skilled in techniques for creating and evaluating data embeddings.

　　Python programming.

　　Ability to summarize and present scientific and engineering results.

　　Effective communication skills, both verbal and written.

　　Effective collaborative skills, including working well with other labs, universities, computing centers, and industry.

　　Ability to keep abreast of advances in areas of interest, thereby enabling more effective interactions with researchers.

　　Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

　　Job Family

　　Temporary Family

　　Job Profile

　　Predoctoral Appointee

　　Worker Type

　　Long-Term (Fixed Term)

　　Time Type

　　Full time

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