Barry works on the detection of the 21-cm signal from the Epoch of Reionisation with the Murchison Widefield Array and, prospectively, SKA-Low. Her specialty is calibration systematics: she has shown how small errors in the sky and beam model propagate into spectral structure that mimics or swamps the cosmological signal, and has developed the diagnostic and mitigation framework that current MWA upper limits rest on. This is a measurement whose entire difficulty is instrumental. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — the intellectual structure is identical to a hard magnetometry measurement: raw sensitivity is adequate, and everything depends on understanding correlated, instrument-induced systematics well enough to subtract them below the signal. Early-career PI (DECRA). Borderline astronomy inclusion, kept on the systematics/instrument criterion.

Biercuk's Quantum Control Laboratory sits precisely at the intersection of control engineering and precision measurement. The group uses trapped ytterbium ions — including large 2D Penning-trap crystals — as both quantum simulators and as calibrated sensors, and is best known for noise spectroscopy: using the qubit itself as a spectrum analyser of its environment, then designing dynamical-decoupling and open-loop control sequences that null the dominant noise. That programme produced Q-CTRL, his quantum control software company, and more recently a serious push into quantum sensing for navigation (magnetic anomaly navigation, quantum-enhanced RF sensing) as a commercial and defence application. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — his filter-function and noise-spectroscopy formalism is now standard equipment in the NV community for designing the DEER and dynamical-decoupling sequences that deliver pT/sqrt(Hz) sensitivity; a candidate from that background would find the theoretical toolkit immediately familiar. Large, well-funded group with strong industry pathways.

Garrido is a computational cognitive neuroscientist — predictive coding, Bayesian brain models, neuroimaging biomarkers for mental health — who was appointed a chief investigator of the ARC Centre of Excellence in Quantum Biotechnology specifically to work with the Melbourne and UQ physics groups on non-invasive quantum-sensor recording of human brain magnetic fields. She is the human-subject and source-reconstruction end of the QUBIC portable-brain-imager programme: her lab supplies the paradigms, the clinical cohorts and the inverse-problem modelling that a diamond- or OPM-based MEG system has to serve. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — she is not a sensor developer, but she is the reason the pT/sqrt(Hz)-class magnetometers being built at Melbourne have a human-trials pathway at all. Preferred attributes present in strength: bioelectromagnetism and human trials with novel quantum technologies. Included as a deliberate borderline case — a sensing postdoc would be the physics half of a collaboration with this lab, not a member of it.

Kuncic works across medical physics and nanoscale systems: nanoparticle-enhanced radiotherapy and dosimetry (where high-Z nanoparticles act as local dose amplifiers and the physics question is energy deposition at nanometre scales), nanoparticle contrast agents and theranostics, and — separately — neuromorphic nanowire networks as physical computing substrates. The medical-physics thread is the relevant one here: it is about quantifying and imaging what a nanoscale probe does inside tissue. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — the nanoparticle-in-tissue problem she works on is the same delivery-and-quantification problem that determines whether an in-cell nanodiamond sensor operating near the pT/sqrt(Hz) regime reports anything biologically meaningful. Borderline inclusion; a candidate would be bringing quantum sensing to her, not the reverse.

Develops quantum sensing platforms at the biology interface. Core NV-center work: (1) widefield NV magnetic imaging of action potentials in neurons and cardiac tissue; (2) NV-based single-molecule NMR at 14 T resolving molecular structure with single-molecule sensitivity; (3) charge-sensitive shallow NV nanoprobes monitoring real-time cellular electrophysiology; (4) biocompatible diamond surface functionalization enabling multiplexed DNA microarray biosensing; (5) fluorescent-protein spin qubits as biological alternatives to diamond NV (2025 paper, Physics World Top-10 Breakthrough). Runs full NV stack: hot implantation, widefield and confocal ODMR, T1/T2/Hahn echo/DEER/Rabi, automated fitting pipelines. 2026 Sloan Fellow. PhD Lukin/Harvard; postdoc Chu/Stanford. Argonne joint appointment.

Uses information theory and statistical physics to study neural circuit sensing. Directions: (1) multi-electrode array recording from salamander and mouse retina to map how retinal ganglion cells encode and predict natural visual scenes; (2) information-theoretic quantification of predictive coding strategies in sensory neurons; (3) developing statistical models of population neural codes. Technique focus: high-density multi-electrode arrays as a sensing platform for neural population dynamics. Joint appointment Organismal Biology and Anatomy.

Rahman does large-scale atomistic modelling of semiconductor quantum devices: tight-binding and DFT calculations of donor and quantum-dot wavefunctions, valley physics, spin-orbit coupling, hyperfine interactions and the response of all of these to strain and electric field, at system sizes large enough to represent a real device. The group works hand-in-glove with the Morello, Dzurak, Simmons and Rogge experiments, and increasingly uses machine learning to invert measurements into structural information. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — the same first-principles machinery is what predicts the hyperfine and spin-bath environment that determines T2 — and therefore the achievable pT/sqrt(Hz) sensitivity — of any solid-state spin sensor, including NV. Computational PI; would suit a candidate wanting a theory/experiment bridge role.

Unnithan runs a sensor-engineering group spanning plasmonic colour filters and metasurface-based CMOS image and spectral sensors, thermal/hyperspectral cameras, machine learning on sensor data, and — the relevant thread here — the engineering and packaging of quantum diamond magnetometers, in a joint programme with the Melbourne physics groups and Phasor Innovation aimed at navigation, subsurface sensing and eventual healthcare use. He has extensive industry links (Hort-Eye, KDH) and an entrepreneurial orientation. Positioned against the established body of NV-ensemble quantum sensing work — DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity — his role in that collaboration is on the readout, optics and integration side rather than the spin physics, i.e. turning a laboratory pT/sqrt(Hz) NV ensemble into a fielded instrument. Caveat against the stated preference: this group is substantially device-fabrication and product-oriented rather than sensitivity-limited fundamental measurement.

Bernd Rieger works on computational super-resolution microscopy and live tissue imaging at the nanoscale. Research directions: (1) single-molecule localization microscopy (SMLM) algorithms and particle fusion; (2) 3D multi-label super-resolution imaging in tissue; (3) deep learning for biological image analysis. ERC grants; NL-BI Dutch Bioimaging consortium.