Open Positions

Postdoctoral Associate – Materials Science & Nanoengineering

Description: The NSF-funded READINESS Programmable Cloud Laboratory (PCL) at Rice University invites applications for a Postdoctoral Research Associate to help develop AI-enabled, cloud-accessible autonomous laboratories for next-generation electronic and quantum materials. The position works at the intersection of materials science, AI for Science, experimental automation, and cloud infrastructure, bridging AI and digital frameworks with physical synthesis and characterization systems to enable secure, remotely accessible autonomous experimentation.

We seek a highly motivated researcher at the intersection of materials science, AI for Science, experimental automation, and cloud infrastructure. The successful candidate will bridge AI/digital frameworks with physical synthesis and characterization systems and help enable secure, remotely accessible autonomous experimentation.

Data Scientist – Materials Science & Nanoengineering

Description: The Rice University Department of Computer Science and Department of Materials Science and NanoEngineering are seeking a Data Scientist to build and operate the data infrastructure for READINESS, a new $20 million NSF-funded project transforming four materials synthesis systems (CVD, thermal, PVD, and plasma CVD reactors for 2D materials, oxides, and diamond films) into an AI-driven, remotely accessible autonomous laboratory.

The READINESS facility will generate substantial and diverse data, including growth recipes, reactor time-series, user interactions, optical, SEM/TEM and AFM images, spectra, and continuous robot telemetry. The Data Scientist will be responsible for developing and maintaining the central data lake that captures, indexes, secures, and serves this information across the project.

Equal Employment Opportunity Statement

Rice University is an Equal Opportunity Employer with commitment to diversity at all levels, and considers for employment qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability or protected veteran status.

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