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Machine Learning Quantum Computing Jobs in North Carolina

You will help design and implement machine learning models, maintain computational pipelines, and analyze complex biological datasets using high-performance computing environments. This position ...

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

... machine learning to areas such as artificial intelligence, robotics, and interactive user experiences. The role works with large-scale computing frameworks and data analysis systems. The role is ...

You will help design and implement machine learning models, maintain computational pipelines, and analyze complex biological datasets using high-performance computing environments. This position ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience with large datasets and distributed computing systems (Hadoop, Spark). * Strong coding ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience with large datasets and distributed computing systems (Hadoop, Spark). * Strong coding ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience with large datasets and distributed computing systems (Hadoop, Spark). * Strong coding ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience with large datasets and distributed computing systems (Hadoop, Spark). * Strong coding ...

... computing platforms (AWS, GCP, Azure) and familiarity with DevOps practices. Experience in deploying and maintaining AI systems in production environments. Solid understanding of machine learning ...

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

We build advanced software and machine learning systems that help the Department of Defense detect ... Strong fundamental understanding of computing hardware architectures and how they influence ...

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in North Carolina? For Machine Learning Quantum Computing jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in North Carolina look for? The top searched job categories for Machine Learning Quantum Computing jobs in North Carolina are:
What cities in North Carolina are hiring for Machine Learning Quantum Computing jobs? Cities in North Carolina with the most Machine Learning Quantum Computing job openings:
Post-Doc Research Associate

Post-Doc Research Associate

UNC-Chapel Hill

Chapel Hill, NC

Full-time

Medical, Vision, PTO

Re-posted 13 days ago


University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

275th of 555 rated colleges and universities


Job description

Posting Details
Department Physics and Astronomy - 319000 Posting Open Date 11/24/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc Research Associate Vacancy ID PDS004724 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Proposed Start Date 01/01/2026 Estimated Duration of Appointment 12 Months
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.
Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.
UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.
Primary Purpose of Organizational Unit
Our primary mission is providing instruction of the highest quality in physics and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure of matter, from subatomic particles to the large-scale structure of the universe.
Our departmental instructional mission spans all segments of the student community. Over 60% of all college graduates from UNC-CH have taken a course in our department. Among them: undergraduate liberal arts majors who should master the power of quantitative reasoning; undergraduates seeking a degree in another of the natural sciences, who need physics as a foundation for their advanced scientific training; the small number of undergraduates who major in physics, to whom we provide broad and rigorous training. Our graduate education and research advances frontiers of knowledge at the two extremes of space and time, from the very small) the realm of particle physics) to the very large (the realm of astronomy, while expanding the boundaries of knowledge in the many subfields spanning length scales between. Forefront physics and astronomy research requires access to well-equipped laboratories and extensive computing capabilities; it also must be supported by comprehensive and accessible library collections. Again, in research at this advanced level, the bridging aspect of physics provides basic interdisciplinary insight for many other sciences.
This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous research grants held by faculty in the department to maintaining course and student records. These activities are usually accomplished in a standard 40- hour week schedule.
Position Summary
The computational materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials. The postdoc researcher will perform DFT calculations and develop methods to accelerate the design of defects in semiconductors. This position offers exciting opportunities to collaborate with experiment and theory groups. Candidates should be able to work both independently and collaboratively and contribute to a positive research group environment. The candidate is required to have experience with DFT calculations and a strong publication record. Experience with quantum defects and/or machine learning methods like machine learning interatomic potentials is a preferred qualification.
This preferred start date is January 2026 and can be negotiated. The initial appointment is for one year, with the possibility of renewal for up to two additional years based on performance.
A complete application includes (1) a cover letter summarizing the applicant's qualifications, research interests, and suitability for the position, (2) a complete CV, (3) a list of at least three references, and (4) unofficial BS and PhD transcripts. Review of applications will begin immediately and continue until the position is filled.
Minimum Education and Experience Requirements
PhD in Physics, Materials Science, Chemistry, or a closely related area
Required Qualifications, Competencies, and Experience
Strong background in solid-state physics and publication records in computational materials
Excellent written and verbal communication skills
Preferred Qualifications, Competencies, and Experience
Experience in the development and implementation of machine learning models
Special Physical/Mental Requirements Special Instructions
For information on UNC Postdoctoral Benefits and Services click here
Quick Link https://unc.peopleadmin.com/postings/309911
Posting Contact Information
Department Contact Name and Title Mengen Wang, Assistant Professor Department Contact Telephone or Email mewang@unc.edu Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.
Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

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10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789