Postdoctoral Scholar - Research Associate - Quantum Monte Carlo

Job type: 

Application deadline: 

Wednesday, July 1, 2020

USC’s Information Sciences Institute (ISI), a unit of the university’s Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence, information processing, quantum computing, cybersecurity, and communications technologies. ISI’s 400 faculty, professional staff and graduate students carry out extraordinary information sciences research at three distinct locations - Marina Del Rey, CA; Arlington, VA; and Waltham, MA.

*This position is located in Marina del Rey, CA.*

The Information Sciences Institute at The University of Southern California invites applications for a postdoc position starting immediately. This is a 1-year appointment with a strong possibility of reappointment.

In this position, the successful applicant is expected to contribute to the design and development of algorithms for numerical simulations of quantum many-body systems. The applicant should have strong numerical and analytical skills as well as knowledge in computational physics, specifically quantum Monte Carlo methods, and condensed matter physics (preferably, spin systems). The research will include designing and running heavy numerical simulations on high performance clusters.

- PhD in physics, computer sciences or other related disciplines.

- Strong numerical skills and programming skills in e.g., C/C++, Fortran, Python.

- Experience in quantum Monte Carlo simulations.

- Knowledge in quantum mechanics, Condensed Matter Physics and computational physics.


- Good ability to work alone and in a group.

To be considered for the position, please provide the following:
1) a detailed CV with publications and contact information for three references; and
2) a research statement outlining the candidate’s research, and interest in the position.

Position is currently open and will remain so until it is filled.

The University of Southern California values diversity and is committed to equal opportunity in employment.

Minimum Education: Ph.D. or equivalent doctorate within previous three years Minimum Experience: 0-1 year Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods