Quantum Information Science & Engineering

Position Summary

APPLICATION WINDOW
Best Consideration Date:
Friday, December 6, 2024
Apply by this date to ensure full consideration by the committee. Applications received after this date will only be considered if the position has not yet been filled.

The University of New Mexico (UNM) is seeking to hire exceptional faculty members specializing in quantum materials and systems, broadly defined. These open‑rank positions offer an initial appointment based on the candidate’s experience and qualifications. The selected individual(s) will join an academic department within either the School of Engineering or the College of Arts and Sciences. Departments of potential affiliation include, but are not limited to, Chemistry and Chemical Biology, Computer Science, Electrical and Computer Engineering, Mathematics, Physics and Astronomy, Mechanical Engineering, and Chemical and Biological Engineering.

The successful candidate will also have opportunities to collaborate with some of UNM’s renowned research centers, such as the Center for Quantum Information and Control (CQuIC); the Center for High Technology Materials (CHTM); and the Center for Advanced Research Computing (CARC). Additionally, the candidate will play a key role in expanding the interdisciplinary Quantum Information Science and Engineering (QISE) program and contributing to the newly launched Quantum New Mexico Institute (QNM‑I) initiative.

QNM‑I, a collaboration between UNM and Sandia National Laboratories, which will soon expand to include Los Alamos National Laboratory, offers avenues for advancing collaborative research and education, with opportunities to partner with national laboratories and universities across New Mexico.

The position is for tenured and tenure‑track faculty in the School of Engineering and/or College of Arts and Sciences. Tenured and tenure‑track faculty in the school/college are fully funded academic year (9 month) positions.

We invite applications for tenure and tenure‑track faculty in the following focus area.

Quantum materials and systems with primary areas of interest including: photonics‑based quantum science and technology; system‑level quantum computing and communications; quantum optics, atomic & molecular physics, and quantum information. Candidates working in areas including quantum materials; quantum sensors; advanced spectroscopy and microscopy; and applications to biophysics, physics, or engineering are strongly encouraged to apply.

Minimum Qualifications (open rank)

• PhD (or equivalent degree) at time of hire in a field relevant to quantum sciences, including engineering disciplines, physics, chemistry, computer science, mathematics, etc.
• A record of high‑quality research productivity in the relevant fields.

Preferred Qualifications

• Record of, or potential for, securing externally funded research grants in the relevant fields
• Record of successfully mentoring and/or teaching students or trainees
• History of working collaboratively in partnership with colleagues across disciplines and/or institutions
• Record of, or potential for, engagement with national labs and/or industry in relevant fields
• A demonstrated commitment to advancing diversity, equity, inclusion, and student success, and working with diverse communities
• Record of, or potential for, teaching courses in the selected home departments

Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.

Requested Application Materials

* Cover Letter (1‑2 pages):
Candidates should describe their suitability for the position by addressing both the minimum and preferred qualifications. They also should indicate the academic rank for which they are applying, and their top two preferred home departments, rank ordered.

* Research Statement (3 pages maximum, not including references):
Candidates should summarize their previous research experience and include short‑ and long‑term research goals. They also should describe how their research plans are tied to potential funding and potential funding agencies.

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