Lehigh University, Physics

Position ID:

Lehigh-Physics-PDML [#27160]

Position Title:

Postdoctoral Position in Machine Learning for Materials Discovery

Position Type:

Postdoctoral

Position Location:

Bethlehem, Pennsylvania 18015, United States of America

Subject Areas:

Physics / Materials Sciences, Machine Learning, materials theory, materials-related physics

Appl Deadline:

2024/05/31 11:59PM help popup

(posted 2024/02/14, updated 2024/02/13, listed until 2024/08/13)

Position Description:

*** the listing date or deadline for this position has passed and new applications are no longer accepted. ***

The Department of Physics at Lehigh University (LU) invites applications from outstanding and highly motivated individuals for a postdoctoral research associate position. This position is centered on the innovative use of machine learning (ML) and materials informatics for the prediction and discovery of new materials.

The successful candidate will spearhead the development and refinement of advanced ML algorithms such as multifidelity neural networks and computational models. This initiative is geared towards the predictive discovery of new materials and the elucidation of structure-property relationships. Our research ethos emphasizes versatility in methodologies, encompassing first-principles modeling, high-throughput materials informatics, and advanced ML strategies. The scope of research spans a wide array of material properties (electronic, optical, magnetic, topological) and their applications in next-generation technologies, including optoelectronic devices and quantum information systems. This position forms a critical part of our collaborative research efforts, linking closely with interrelated projects undertaken by Ph.D. students and fellow postdoctoral researchers.

Our group boasts robust collaborations with esteemed experimental teams within LU, across other academic institutions, and at premier National Laboratories, including the U.S. Army Research Lab in Aberdeen, MD.

Requirements

A Ph.D. or equivalent in theoretical/computational physics or chemistry is required. Demonstrated expertise in advanced ML models tailored for materials science, with a foundational understanding of first-principles electronic structure modeling (e.g., density functional theory). Proficiency in Python programming is essential. It is necessary to have excellent communication skills in both spoken and written English. Self-motivation is a desirable trait. Salary and terms of employment LU offers a highly competitive salary package. The period of employment is for two years with the possibility of extension for a third year upon mutual consent. The position is available immediately and will remain open until filled.

Application procedure

Your completed online application must be submitted no later than May 31, 2024. The file must include:

• Application (cover letter) • CV • Research Statement • Academic Diplomas (MSc/PhD) • List of publications • Two to three reference letters (to be submitted online by the reference writers at this site) • And anything else requested in the position description

Further information

Should you have any queries regarding the positions, please contact Professor Chinedu Ekuma (chinedu.ekuma@lehigh.edu). You can read more about our research here: https://cekumagroup.cas.lehigh.edu. If you are applying from abroad, you may find useful information on working at LU here: hr.lehigh.edu.

Application Materials Required:

Submit the following items online at this website to complete your application:

Cover letter
Curriculum Vitae
Research statement
Publication list
Academic Diplomas (MSc/PhD)
Two or more reference letters (to be submitted online by the reference writers on this site )

Further Info:

www.physics.cas2.lehigh.edu

610-758-3931

Lehigh University Physics
16 Memorial Dr. E.
Bethlehem, PA 18015