Postdoctoral Appointee – Atomic Layer Deposition of 2D Materials

Argonne National Laboratory

Lemont, USA

ID: 7198775 (Ref.No. 416928)
Posted: December 6, 2023

Job Description

We invite applications for a postdoctoral position in the Functional Coatings Group in the Applied Materials Division at Argonne National Laboratory to conduct advanced research in the development of energy-efficient microelectronics. The successful applicant will spearhead efforts in simulating, optimizing, and benchmarking devices and architectures based on 2-dimensional (2D) semiconductor materials. In particular, the new hire will work as part of a larger team to characterize and develop models of devices based on 2D transition metal dichalcogenide (2D-TMDC) materials such as MoS2 synthesized using novel wafer-scale ALD processes. The postdoctoral appointee will also integrate these devices into complex circuits to benchmark their performance under realistic conditions and will collaborate with computational scientists to apply machine learning techniques to optimize for performance and power consumption. Experience in device modeling and circuit-level analysis is required. Candidates with additional experience in device fabrication and/or machine learning will be favorably considered. The postdoctoral appointee is expected to aid in the modeling and optimization of devices incorporating 2D semiconductor materials, contribute to the design, simulation and evaluation of circuits and architectures integrating these novel devices, as well as present findings to the community through publications and presentations.

Position Requirements

Ph.D. in electrical or computer engineering or materials science with 0 to 2 years of experience, or the equivalent experience through practical application in a laboratory.
Knowledge of and experience in device and circuit-scale modeling.
Skills working interactively and productively in a multidisciplinary environment.
Skills in oral and written communication.
Record of publication and external recognition in these areas.
Ability to work independently on a day-to-day basis.
Demonstrated interpersonal, oral, and written communication.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Qualifications:

Prior experience on 2D transition metal dichalcogenide devices or device fabrication.
Programming skills, in particular Python. Experience in machine learning.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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