Job Description
Ref. No.
WF250130
Position ID: 193712
About University at
Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, the University at
Albany's broad mission of excellence in undergraduate and graduate education, research and public service engages a diverse student body of
approximately 17,000 students in nine schools and colleges across three campuses.
Located in Albany, New York, New York State's
capital, the University is convenient to Boston, New York City and the Adirondacks.
Job Description: The Nanoscale
Science and Engineering Department within the College of Nanotechnology, Science, and Engineering at the University at Albany invites
applications for a full-time, tenure-track position at the rank of Assistant Professor to begin Fall 2026.
Quantum computing offers a
transformative paradigm. By taking advantage of qubits' ability to exist in multiple states simultaneously and exploiting the probabilistic
and delocalized behaviors of quantum systems, quantum computing promises exponentially more efficient calculations than conventional
computers. This would revolutionize fields that involve optimization, modeling and simulation, cryptography, and AI. However, realizing this
potential requires designing systems with novel architectures, improved error correction strategies and data coherence, and robust tolerance
for realistic operating environments (e.g., temperature management and vibration isolation).
In parallel to the benefits of quantum
computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity of
the human brain. While quantum and neuromorphic/AI computing represent very distinct approaches to computing innovation; their integration
holds immense promise for advancing technology and applications. Quantum-assisted training of neuromorphic/AI systems represents a fresh
approach for optimizing the neuromorphic structure and more efficient weighting of system synapses compared to classical computing
systems.
The candidate for this position is expected to work at the intersection of quantum computing and artificial intelligence,
while pursuing excellence in research, teaching, and service at a Carnegie R1 institution that serves a broad community and mentors the next
generation of scientists. The candidate will contribute to robust undergraduate and graduate programs in their discipline, will collaborate
within the department and across the university to promote multidisciplinary research and increase extramural funding, and will perform
community outreach and service to the university, college, and department. Key areas of interest within this focus on computing and
artificial intelligence include, but are not limited to, neural networks, error correction, and system architecture, with particular
emphasis on translating theoretical advances into practical applications.
The candidate will work with a team of researchers in
quantum computing, cognitive neuroscience, and mathematics to make advances at the intersection of quantum computing, neuromorphic
computing, and artificial intelligence. The Department of Nanoscale Science and Engineering is uniquely positioned within the Albany
Nanotech Complex, home to NY CREATES - The Future of Innovation. This environment provides the successful candidate with access to CNSE's
state-of-the-art semiconductor fabrication facilities, as well as opportunities to collaborate directly with leading industry partners
co-located on site. In addition, the candidate can participate in emerging initiatives such as quantum computing focused consortia,
including The Northeast Regional Defense Technology Hub (NORDTECH), further expanding research, innovation, and partnership
opportunities.
Primary Responsibilities: - (Listed as Essential Functions on the Job Description. remove
any percentages of time from the Job Description.)
Functional and Supervisory Relationships: - Reports
to department chair
- Supervises the following positions: none
- May supervise employees as assigned: Graduate and undergraduate
students as well as any laboratory personnel (e.g., postdoctoral researchers; research scientists; technicians,
etc.).
Requirements: Minimum Qualifications: - A terminal doctoral degree (PhD or
equivalent) in physics, computer engineering, or related field from a college or university accredited by the US Department of Education or
internationally recognized accrediting organization by August 15, 2026.
- A record of research and scholarly activity in quantum
computing or fields directly related to the position description, as demonstrated by peer-reviewed publications, preprint manuscripts,
books, or conference proceedings.
- The ability and a plan to effectively teach undergraduate and graduate level
courses.
- Experience working with interdisciplinary teams.
- Applicants must demonstrate an ability to develop inclusive and
equitable relationships within our diverse campus community.
- Applicants must demonstrate an ability to support diversity, equity,
access, inclusion, and belonging relative to their role.
- Applicants must demonstrate an ability to develop inclusive and equitable
relationships within our diverse campus community
- Applicants must demonstrate an ability to support diversity, equity, access,
inclusion, and belonging relative to their role
Preferred Qualifications: - Demonstrated experience in
using quantum computing approaches (broadly defined), neuromorphic devices and architectures, artificial intelligence (AI), or machine
learning.
- A record of innovation in quantum computing or neuromorphic approaches, which includes peer-reviewed publications in
impactful journals.
- Evidence of potential for securing extramural funding for research and creative activities.
- Experience
in teaching and curriculum development at the collegiate level.
Working Environment: - Typical office,
classroom, and scientific research lab environments
- Class schedules may include courses offered after 5 pm on weekdays
- This
position will require occasional evening and weekend work to support events and community activities
- Travel within New York State
and beyond may be necessary
Additional Information: Professional Rank and Salary Range: Assistant Professor, Salary
commensurate with experience
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act,
mandates that all Title IV institutions, without exception, prepare, publish and distribute an Annual Security Report. This report consists
of two basic parts: disclosure of the University's crime statistics for the past three years; and disclosures regarding the University's
current campus security policies. The University at Albany's Annual Security Report is available in portable document format [PDF] by
clicking this link
Pursuant to
Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for
employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a
conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the
Governor's Office of Employee Relations at (518) 474-6988 or via email at info@goer.ny.gov .
THE UNIVERSITY AT ALBANY IS AN EO/AA/IRCA/ADA EMPLOYER
Please apply
online via
Application
Instructions: Applicants MUST submit the following documents: - CV
- Cover letter stating all the
required minimum qualifications and any of the applicable preferred qualifications.
- Contact information for three
references
Note: After submitting your CV, the subsequent pages give you instructions for uploading additional
documents (i.e. cover letter etc.).
See the FAQ for using our online system. Please
contact us if you need assistance
applying through this website.
Returning Applicants - Login to your UAlbany Careers Account to check your completed
application.
A review of applications will start on 10/22/2025 and the search will remain open until the position is filled.
Job Tags
Full time, Casual work, Work at office, Afternoon shift, Weekday work,