About the position: E Ink is seeking an innovative and results-focused Computational Scientist to support our development efforts towards improved electrophoretic displays. In this role you will use your background in deep learning, data science, computational methods and natural sciences to design, improve and evaluate models of our displays and develop algorithms and tools in support of this effort. You will work closely with our materials scientists to incorporate novel experimental results into our models which in turn will inform the materials scientists’ work. Responsibilities: Develop, improve, and evaluate models pertaining to the fundamental dynamics of electrophoretic displays, and use them to drive inverse design efforts towards better performing displays Work closely with our materials scientists to shape experiments, contribute to their analysis, and incorporate the results into your models Design and maintain reproducible pipelines that process experimental data as well as train and evaluate machine learning models Conduct inverse-design campaigns (Bayesian optimization, diffusion models, genetic algorithms, etc.) to iteratively recommend new formulations and coordinate lab validation Support your wider team with tools and algorithms that make your models and results easily accessible and usable Dive deep into fundamental ink dynamics and chemistries to discover key insights related to material properties and chemical design Invent and document relevant intellectual property and present findings to broad audiences Champion best practices in data quality and experiment lineage across the organization Act as the glue between collaborators working at the interface of soft-matter science and machine learning Ideal Qualifications: Minimum of a Ph.D. (or exceptional M.S. plus 4 years' experience) in Materials Science, Chemistry, Data Science, Physics, Applied Math, or similar major. Outstanding candidates of any educational background will be considered 3-5 years of experience in a research role with a proven track record of innovative solutions Proficiency in Python or other scientific programming tools Strong problem-solving skills and the ability to work collaboratively in a multidisciplinary team Ability and openness to learn new tools and techniques and share examples Excellent communication skills and a collaborative mindset Preferences: Knowledge in colloid science, organic chemistry, and physical modeling Experience with Deep Learning, Bayesian Modelling, or workflow automation Benefits: Competitive total compensation package Medical, dental and vision on 1st day Company 401K match 20 PTO days Generous sick leave policy Casual day to day work environment Hybrid/flexible work environment (for some positions) E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law. #J-18808-Ljbffr E Ink Corporation
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