Lila Sciences
Biotech
Scientist,EpitaxialThinFilmSynthesis
“Scientist, Epitaxial Thin Film Synthesis at Lila Sciences. Skills: Materials growth, Structural characterization, Electronic transport. Lead synthesis of epitaxial thin films. Contribute to discovery of quantum materials”
What You'll Achieve.
Accelerate discovery of novel materials
Industry & Context.
Troubleshoot hardware; Troubleshoot vacuum systems
What They're Looking For.
Must Have
PhD in Physics, Materials Science PhD, Applied Physics PhD, 4 years hands-on experience, Epitaxial thin films growing, XRD-based structural analysis, Surface characterization proficiency, Electronic transport measurements, Magneto-transport measurements, Cryogenic temperatures experience, RHEED operation experience, Vacuum science knowledge, UHV system maintenance
Nice to Have
Thin film materials synthesis, Correlated-electron phenomena experience, Magnetism experience, Spin-orbit coupling experience, Low-carrier-density transport anomalies, Publication record, Combinatorial approaches experience, High-throughput approaches experience, Sputtering processes experience, DC sputtering modes, RF sputtering modes, HiPIMS sputtering modes, Lithographic patterning familiarity, Bayesian optimization background, Machine-learning-guided design background
What You'll Do.
Lead synthesis of epitaxial thin films
Contribute to discovery of quantum materials
Design growth protocols
Design characterization protocols
Grow single-crystal epitaxial films
Grow heterostructures
Optimize deposition conditions
Achieve atomically sharp interfaces
Achieve target crystal phases
Design electronic transport devices
Fabricate electronic transport devices
Measure electronic transport devices
Analyze magneto-transport data
Extract physical parameters
Identify emergent ground states
Maintain deposition hardware
Maintain characterization hardware
Troubleshoot hardware
Troubleshoot vacuum systems
Collaborate with theorists
Collaborate with computational scientists
How You'll Work.
Team & Collaboration
Experimentalists; Systems engineers; Machine learning scientists; Theorists; Computational scientists
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