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At a glanceSummarised by Seekless from the posting.
Must have10
PhD (awarded or imminent) in Physics, Electrical Engineering, Materials Science, or a related field
Demonstrated competence in both a computational technique (NEGF, DFT, micromagnetics, atomistic spin dynamics, or equivalent) and an experimental technique (device fabrication, transport, FMR, magneto-optics, or thin-film characterization)
Strong publication record
Quantum transport modeling using NEGF
First-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent)
Atomistic spin dynamics or micromagnetic simulation (e.g., Vampire, OOMMF, MuMax3)
Extraction of compact device models from first-principles results
Integration of heterogeneous material stacks into working device structures
Electrical and magnetic characterization, including cryogenic transport, FMR, and high-frequency lock-in measurements
Nice to have3
Prior experience with spintronic materials or beyond-CMOS device platforms
Familiarity with MATLAB or the Python scientific stack
Prior involvement in multi-PI collaborations or government-funded programs
Eligibility3
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy.
USC observes affirmative action obligations consistent with state and federal law.
USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance
Skills
VASP
Quantum ESPRESSO
MATLAB
Python
Responsibilities
Theory
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Quantum transport modeling using NEGF; first-principles materials and interface calculations using DFT (VASP, Quantum ESPRESSO, or equivalent).
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Atomistic spin dynamics or micromagnetic simulation (e.g., Vampire, OOMMF, MuMax3); extraction of compact device models from first-principles results.
Integration of heterogeneous material stacks supplied by collaborators into working device structures.
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Electrical and magnetic characterization, including cryogenic transport, FMR, and high-frequency lock-in measurements.
Program role
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Design and lead validation experiments at the major program decision gates, co-author theory and experimental publications, and contribute to the patent portfolio.
Qualifications
Required
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PhD (awarded or imminent) in Physics, Electrical Engineering, Materials Science, or a related field.
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Demonstrated competence in both a computational technique (NEGF, DFT, micromagnetics, atomistic spin dynamics, or equivalent) and an experimental technique (device fabrication, transport, FMR, magneto-optics, or thin-film characterization).
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Strong publication record.
Nice to have
Preferred
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Prior experience with spintronic materials or beyond-CMOS device platforms.
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Familiarity with MATLAB or the Python scientific stack.
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Prior involvement in multi-PI collaborations or government-funded programs.
What the Program Offers
Competitive salary commensurate with experience (USC postdoc / USC-ISI graduate research assistant scales). Access to USC-ISI cleanroom facilities, the broader USC research ecosystem, and fabrication routing through the CA DREAMS Microelectronics Commons Hub. Direct involvement in a high-visibility DARPA program with clear paths to first-author publications and a position in a growing patent portfolio. The successful candidate will interact regularly with senior faculty at partner institutions. Detailed technical scope will be discussed during the interview. The initial appointment is for 18 months, renewable for up to 36 months subject to performance and program funding.
To Apply
CV including publication list A one-page statement describing your prior research and your interest in the program — please indicate explicitly which theoretical and experimental techniques you bring Names and contact information for three references PDF of one representative publication
Email your CV, cover letter, and relevant publications to Ajey Jacob at [email protected].
About the role
The Application Specific Intelligent Computing Lab at the USC Information Sciences Institute (USC-ISI) is recruiting to join a beyond-CMOS spintronics program — a 36-month, multi-institution DARPA-funded effort to develop a three-terminal beyond-CMOS digital logic switch based on spintronic elements.
The successful candidate will take technical leadership on device physics and device integration, working across theory and experiment within a multi-PI team spanning USC-ISI and partner institutions.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at [email protected]. Inquiries will be treated as confidential to the extent permitted by law.
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Notice of Non-discrimination
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Employment Equity
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USC is a smoke-free environment
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