Group Leader: Dr. Rajib Rahman, Associate Professor of Physics, University of New South Wales, Sydney, Australia.
Affiliation: School of Physics, Centre for Quantum Computer and Communication Technologies.
Relevant areas: Quantum Computing, Solid-state Physics, Quantum Physics, Quantum Material
Science, Computational science.
Description of research: We develop computational techniques and software for modeling
solid-state quantum bits. We work closely with world-leading experimental groups to
understand their experimental measurements and also to guide them in designing quantum
systems. Our work involves multi-scale modeling of quantum materials and devices ranging
from atomistic to continuum methods and from first principles to empirical methods for
electronic structure and quantum transport simulations. We are interested to study couplings
of electrons with phonons, photons, and other electrons and quasi-particles, and utilize these
interactions to design quantum computing platforms. Beyond quantum computing, we are also
interested to model emerging 2D and topological materials, and investigate novel electronic
and optical phenomena. Our work has been documented in a variety of journals including those
of Nature and Science groups, physical review letters, nanoletters and IEEE journals [See
Expectations: The postdoc will primarily be working on silicon qubits with the computational
tools and techniques developed in Prof. Rahman’s group. The postdoc is also expected to
perform computational methods development relevant to modeling quantum systems. The
postdoc will work with tight-binding, density functional theory, Green’s functions, Hartree Fock
and configuration interaction techniques among others. The postdoc will collaborate with
experimental groups at the quantum computing center at UNSW and other international
Application process: The interested candidates should send their curriculum vita to Prof.
Rahman at rajib.rahman (at) unsw.edu.au.
Outstanding academic record.
Prior research experience. High quality PhD thesis and publications in leading journals.
Background in solid-state physics or electronics. Knowledge of electronic structure and
Background in Density Functional Theory (DFT) preferred.
Strong coding background in an object-oriented programming language preferably C++.
Knowledge of scientific computing platforms, code compilation, and parallel processing.
Experience with scripting languages such as python or Matlab.
Good communication skills for presenting and writing up research work.
Ability to work in a team and collaborate with external groups.
Salary: Base annual salary ~AUD $ 95,449, 17% superannuation, and leave loading.
Term: 2 years. May be extended based on performance and availability of funds.
Location: UNSW is located in Sydney, Australia, which is consistently ranked as one of the best
places to live in the world. The University has an urban campus and is located 20 minutes from
Sydney CBD and 20 minutes from eastern beaches such as Coogee and Bondi.
Phys. Rev. Lett. 99, 036403 (2007); Nature Physics 4 (8), 656 (2008); Phys. Rev. Lett. 113,
246406 (2014); Nature Materials 13 (6), 605 (2014); Nature Nanotechnology 9 (6), 430 (2014);
Nature (npjqi) Quantum Information 2, 16008 (2016); Nature (npjqi) Quantum Information 4, 1-
8 (2018); Phys. Rev. B 97, 085302 (2018); Scientific Reports 6, 28515 (2016); IEEE J. Exploratory
solid-state computational devices and circuits 1, 12-18 (2015); Nanoletters 15 (12), 8000 (2015).