This one is closed
Live roles like this one
- C 4h ago
-
B
6h ago
Mainframe Systems Programmer - DB2 Physical
Ensono United States $65k - $123k/yr
- D 11h ago
-
B
16h ago
Clinical and Population Health Analyst
Highmark Health United States $73k - $117k/yr
See every "Physics Expert" role →
Get new “Physics Expert” roles by email
One email a day with what is new in "Physics Expert". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 24/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-20 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: Physics Expert (AMO / Quantum Information)
Role Type: Contractor
Location: Remote
micro1 is engaging Physics Experts (AMO / Quantum Information) to contribute to a cutting-edge research-focused project in collaboration with a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
This opportunity centers on benchmarking advanced concepts in quantum optics, focusing on cascaded optical parametric amplifiers, SU(1,1) interferometers, and the effects of loss and two-mode squeezing. Contributors may participate as Solvers, Auditors, or Adjudicators, with assignments tailored to subfield specialization, experience, and demonstrated hands-on ability using the specified methods.
Scope of Work
Analyze and model cascaded optical parametric amplifiers and SU(1,1) interferometric systems under realistic loss mechanisms.
Apply Bogoliubov transformations and covariance-matrix techniques to quantify quantum correlations and noise properties.
Derive and interpret sideband photocurrent spectra utilizing homodyne detection methodologies.
Implement and critique loss modeling via fictitious beamsplitters, ensuring robust benchmarking against theoretical and experimental scenarios.
Utilize squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.
Preferred Qualifications
Advanced degree (PhD or equivalent experience) in Atomic, Molecular, and Optical (AMO) Physics, Quantum Optics, or Quantum Information Science.
Proven expertise with Bogoliubov transformations, covariance-matrix formalism, and quantum noise analysis.
Hands-on familiarity with sideband spectra, homodyne detection, and modeling of quantum optical loss mechanisms.
Demonstrated ability applying squeeze-parameter hyperbolic identities in practical research or experimental analysis.
Familiarity with frontier research involving cascaded parametric amplifiers, SU(1,1) interferometry, or two-mode squeezing is highly valued.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 02 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.